Contents
2025
Volume: 46 Issue 1
39 Article(s)
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Review on the research progress of photodynamic endoscopic therapy
CHEN Chong, LI Yongliang, FENG Hailong, and LI Jiahang
Photodynamic therapy endoscope is a key device for intracavitary photodynamic therapy by combining medical endoscopic system with photodynamic therapy technology, which can transmit the therapeutic laser beam to the target tumor location through the biopsy channel to realize intraoperative real-time monitoring and treaPhotodynamic therapy endoscope is a key device for intracavitary photodynamic therapy by combining medical endoscopic system with photodynamic therapy technology, which can transmit the therapeutic laser beam to the target tumor location through the biopsy channel to realize intraoperative real-time monitoring and treatment, and improve the precision and safety of photodynamic therapy. This paper elaborates and analyzes the research progress of the principle of photodynamic therapy and medical endoscopes from the three directions of visualization photodynamic therapy endoscopes, coaxial photodynamic therapy endoscopes and photodynamic diagnostic and therapeutic endoscopes, and looks forward to the research prospect of photodynamic therapy endoscopes..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 1 (2025)
Study and application of spectroscopic detection of microplastics in
JIA Chunrong, MENG Miao, GAO Jianxin, TANG Yukun, DONG Zhengxuan, and DI Zhigang
Microplastics (MP) pervade the aquatic environment and pose a threat to human health by entering the body via ingestion and various other means. Lately, this contamination has ranked among the top ten pollutants, underscoring the critical need for a highly sensitive and precise method to detect microplastics. RegardingMicroplastics (MP) pervade the aquatic environment and pose a threat to human health by entering the body via ingestion and various other means. Lately, this contamination has ranked among the top ten pollutants, underscoring the critical need for a highly sensitive and precise method to detect microplastics. Regarding the identification of microplastics in water, Raman spectroscopy and Fourier transform infrared stand out for their superior sensitivity, accuracy, and speed relative to alternative detection techniques. The framework and fundamental concepts of these techniques were reviewed in this document, also research status of the Fourier transform infrared spectroscopy and Raman spectroscopy for identifying microplastics in water were reviewed, finally the future developing was predicted..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 9 (2025)
Design of non-magnetic temperature control system based on VCSEL
LIU Yu, XUN Yujie, ZENG Zhongming, and WU Dongmin
Vertical-cavity surface-emitting laser (VCSEL) is an important part of miniaturized atomic magnetometer. In order to meet the needs of atomic magnetometer for high stability and high sensitivity laser temperature control system, this paper studies A set of non-magnetic high-frequency heating circuit based on the XILINXVertical-cavity surface-emitting laser (VCSEL) is an important part of miniaturized atomic magnetometer. In order to meet the needs of atomic magnetometer for high stability and high sensitivity laser temperature control system, this paper studies A set of non-magnetic high-frequency heating circuit based on the XILINX-7000 series Zynq7020 chip is developed. The amplitude modulation of the high-frequency heating signal is realized through the incremental PID algorithm. This circuit can stably control the temperature of the VCSEL and avoid the generation of low -frequency magnetic fields. Zynq7020 has a unique PS (Processing System) and PL (Programmable Logic) architecture. This article uses the high-speed parallelism of the PL side to drive multiple peripheral chips, and uses the flexibility and convenience of the PS side to perform incremental PID calculations. The two are shared through Block RAM Caching data realizes closed-loop control of VCSEL temperature. After testing, the system can achieve fast and stable temperature control of VCSEL. It can be heated to 80 ℃ within 200 s, and the temperature stability is higher than ±0.003 ℃; it can restore stability within 20 s when external current interference occurs, has good anti-interference performance..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 16 (2025)
Design and testing research on button-type BPM for Hefei advanced light facility
WANG Jianye, WANG Dongyu, TANG Leilei, WANG Anxin, and SUN Baogen
To measure the beam position and closed orbit of the electron storage ring at the Hefei Advanced Light Facility (HALF), a button-type Beam Position Monitor (BPM) was designed and tested. Firstly, the design of the button-type BPM for HALF was carried out based on the requirements of the beam position measurement systemTo measure the beam position and closed orbit of the electron storage ring at the Hefei Advanced Light Facility (HALF), a button-type Beam Position Monitor (BPM) was designed and tested. Firstly, the design of the button-type BPM for HALF was carried out based on the requirements of the beam position measurement system, focusing on materials, geometric structures, etc. Then, theoretical analysis and calculations were conducted on the designed BPM to obtain information such as position sensitivity and mapping. Finally, calibration tests were performed on the machined prototype of the BPM for the HALF pre-research project. The measurement sensitivity and mapping of the BPM were obtained, reducing the nonlinearity of the BPM itself, eliminating installation errors of BPM components, and providing data references for eliminating online errors. The results indicate that the designed button-type BPM meets the beam position measurement requirements of HALF..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 23 (2025)
Development of frequency division multiplexing TDLAS laser driving system based on STM32H7B0
SU Ye, and WANG Biao
In the context of China's promotion of ecological civilization construction and the goal of "double carbon", carbon dioxide and water vapor concentration monitoring is of great significance, and TDLAS (Tunable diode laser absorption spectroscopy) gas detection technology has developed rapidly and has advaIn the context of China's promotion of ecological civilization construction and the goal of "double carbon", carbon dioxide and water vapor concentration monitoring is of great significance, and TDLAS (Tunable diode laser absorption spectroscopy) gas detection technology has developed rapidly and has advantages. A frequency division multiplexing TDLAS laser drive system with STM32H7B0 as the main control chip is designed in this experiment. Using frequency division multiplexing technology, the main control circuit drives the laser to detect two gases at the same time. The system uses STM32H7B0 as the main control chip, uses two DA channels inside the chip to generate modulation waveform, and realizes V-I conversion through AD8051. The experimental circuit uses NOR Flash series SST26VF064B memory chip to realize waveform parameter matching data storage. At the same time, the modulation signal parameters of DA output are adjusted by the upper computer to realize the control of the laser output modulation signal. The experimental results show that the maximum absolute error of the waveform signals of the two DA channels is less than 0.5%, which can meet the requirements of the system and realize the stable signal driving of the laser..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 29 (2025)
Dual channel chaotic synchronization based on semiconductor ring lasers
JIANG Zaifu, and ZHANG Dingmei
In order to expand the application of the semiconductor ring lasers (SRL) in chaotic secure communication, a simple chaotic synchronization structure was constructed. The dynamic characteristic of semiconductor ring lasers under phase optical feedback is studied using power spectrum and cross-correlation techniques, anIn order to expand the application of the semiconductor ring lasers (SRL) in chaotic secure communication, a simple chaotic synchronization structure was constructed. The dynamic characteristic of semiconductor ring lasers under phase optical feedback is studied using power spectrum and cross-correlation techniques, and the synchronization quality was optimized and analyzed. The results show that the semiconductor ring lasers can exhibit rich nonlinear dynamics under phase optical feedback. For a fixed frequency detuning value, the synchronization coefficient increases with the increase of the injection coefficient, and for larger injection coefficients, the influence of frequency detuning on synchronization performance will be weakened. Besides, the influence of current mismatch on synchronization performance is discussed, and it was found that the larger the injection coefficient, the smaller the influence of current mismatch. Finally, the case of different feedback phases is discussed, and it is found that two different chaotic signals can also be synchronized, which increases the security of synchronization communication. The research results can provide reference for the application of semiconductor ring laser in chaotic secure communication..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 34 (2025)
Thermal effect analysis of LD end-pumped rod Nd:YAG crystal
JIAO Wenlong, LI Wujun, GUO Miaodi, and ZHANG Pei
In order to solve the problem of thermal effect caused by LD end-pumped rod Nd:YAG crystal, a thermal model of Nd:YAG crystal was established, and the temperature field distribution, stress field distribution and thermal variation of incident end face were quantitatively calculated by using heat conduction theory and fIn order to solve the problem of thermal effect caused by LD end-pumped rod Nd:YAG crystal, a thermal model of Nd:YAG crystal was established, and the temperature field distribution, stress field distribution and thermal variation of incident end face were quantitatively calculated by using heat conduction theory and finite element analysis method. The influence of pumping spot radius and pumping power on crystal temperature field and stress field is also analyzed. The results show that: When the pump power is 10 W and the spot radius is 300 μm, the maximum temperature of the incident end face of the crystal is 316K, and the maximum stress per unit area of the crystal is 1.86×107 Pa and 3.28×107 Pa, respectively, when the side is unconstrained and when the side is constrained. The maximum shape variables of the incident crystal end face are 2.81×10-4 mm and 3.01×10-4 mm, respectively. The maximum temperature, the maximum stress per unit area and the thermoforming variable of the incident end face of the crystal increase with the increase of the pump power, and decrease with the increase of the spot radius. The results provide an important theoretical basis for optimizing the design of LD end-pumped Nd:YAG crystal laser and reducing the thermal effect of the crystal..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 40 (2025)
Study on the characteristics of flash radiation from collision with metal targets at high velocity
ZHAO Haolin, LIU Ji, WU Jinhui, LI Shaodong, GUO Daqian, and SU Haixin
In order to investigate the flash radiation characteristics of different metal targets during high-speed collision, the method of combining the intrinsic and measured spectra is proposed, and a transient spectral detection system is constructed, which is applicable to the complex test environment in the external field.In order to investigate the flash radiation characteristics of different metal targets during high-speed collision, the method of combining the intrinsic and measured spectra is proposed, and a transient spectral detection system is constructed, which is applicable to the complex test environment in the external field. Using this test system, the flash radiation characteristics of steel projectiles colliding with different metal targets (titanium, aluminium and steel) at a speed of 1 300～1 500 m/s were successfully detected, with a wavelength detection range of 350～900 nm. The experiment found that: compared with the three metal targets, the aluminium alloy target is more easily excited and produces the most abundant radiation signature spectral lines, while the special steel target is not found to be obvious strong radiation characteristic spectral lines; in the process of impacting the titanium alloy target and the aluminium alloy target, both of them are found to have the strong radiation characteristic of the obvious Na、K elemental spectral lines; the spectral curves of the same target are in high degree of consistency, which proves that the experimental data can be reproduced..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 46 (2025)
Numerical study of amplification characteristics of Laguerre-Gaussian vortex beams in Kerr media
TANG Yanhua, and MA Zairu
Laguerre-Gaussian (LG) vortex beams are one of the current research hotspots, and with the further research, their transmission characteristics in the medium have also been paid attention to. Based on the nonlinear wave equation, the split-step Fourier algorithm is used to calculate the amplification characteristics ofLaguerre-Gaussian (LG) vortex beams are one of the current research hotspots, and with the further research, their transmission characteristics in the medium have also been paid attention to. Based on the nonlinear wave equation, the split-step Fourier algorithm is used to calculate the amplification characteristics of LG vortex beam in Kerr medium. The effects of topological charge, beam waist width and incident beam peak intensity on the intensity, spectrum, orbital angular momentum (OAM) spectrum and phase distribution of LG vortex beams are investigated. The numerical results show that after the LG vortex beam is amplified by Kerr medium, the beam distribution gradually evolves from circular to ellipsoidal, and the radius of the central sag decreases gradually. The light intensity is enhanced, and the light intensity in the enhanced region fluctuates. At different azimuths, the peak light intensity will shift inward (θ=π/4) or outward (θ=π/2). The spectrum intensity is enhanced and the width is widened. In addition, the beam that produces the new OAM component will be stimulated. The influence of Kerr effect on beam amplification can be reduced by decreasing topological charge, incident peak light intensity and increasing beam waist width, and the B-integral can be reduced effectively..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 50 (2025)
Detection method of facade door and window from point clouds based on holes and regular constraints
MO Yuxiao, and XU Jingzhong
Addressing the challenges in facade door and window detection, a point cloud-based method utilizing void detection and rule constraints has been proposed. This method involves cloth simulation filtering followed by plane segmentation using the Random Sample Consensus (RANSAC) algorithm to extract facade point clouds anAddressing the challenges in facade door and window detection, a point cloud-based method utilizing void detection and rule constraints has been proposed. This method involves cloth simulation filtering followed by plane segmentation using the Random Sample Consensus (RANSAC) algorithm to extract facade point clouds and perform coordinate transformations. A virtual point cloud containing door and window information is then generated through point cloud inversion, and door and window clusters are identified using morphological methods based on point clouds. Finally, rules are applied to restore doors and windows missing due to occlusions, yielding the final detection results. Experiments on multiple building point clouds demonstrate that the proposed method effectively detects doors and windows on building facades, overcoming the impacts of occlusions. The detection results achieved precision, recall, and F1 scores of over 93%, 97%, and 95% respectively, indicating the excellent performance of the proposed algorithm..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 61 (2025)
ERH-Stereo network stereo matching PCBA component height measurement algorithm
ZHANG Jialong, LIU Guixiong, and ZHOU Shanlong
Aiming at the problems of inconvenience and low efficiency of the traditional method of measuring the height of Printed Circuit Board Assembly (PCBA) components in flexible functional testing, an algorithm based on ERH-Stereo STEREO matching PCBA component height measurement is proposed. PCBA objects are collected by bAiming at the problems of inconvenience and low efficiency of the traditional method of measuring the height of Printed Circuit Board Assembly (PCBA) components in flexible functional testing, an algorithm based on ERH-Stereo STEREO matching PCBA component height measurement is proposed. PCBA objects are collected by binocular ranging principle to obtain RGB images, and then RAFT-Stereo and ECA+UHRNet innovative ERH-Stereo STEREO stereo matching network structure are used to obtain PCBA high-precision parallax map, and then PCBA depth information and component height are obtained. Experiments show that ERH-Stereo's EPE and D1 indexes on Scene Flow dataset reach 0.43% and 5.1%, and the absolute error of height measurement is less than 1mm, which can meet the requirements of flexible design of PCBA test fixture..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 68 (2025)
Retinalvessel segmentation based on image fusion of the B-COSFIRE and phase congruency
ZHENG Qiao'e, ZHENG Chujun, and HUANG Minxue
The morphological characteristics of retinal vessels play a significant role in the diagnosis and screening of fundus-related diseases. However, due to the diverse scales and shapes of retinal vessels, as well as large differences in contrast, the detection of fine blood vessels becomes a challenge. To address this proThe morphological characteristics of retinal vessels play a significant role in the diagnosis and screening of fundus-related diseases. However, due to the diverse scales and shapes of retinal vessels, as well as large differences in contrast, the detection of fine blood vessels becomes a challenge. To address this problem, retinal vessel segmentation based on image fusion of B-COSFIRE (Bar Selective Combination of Shifted Filter Responses) and phase congruency is proposed. The feature response map was obtained using wavelet transform based image fusion of the B-COSFIRE filtering response and phase congruency of the preprocessed green channel. And then retinal vessel segmentation was implemented by the fuzzy C-means clustering algorithm. The experimental results show that the average accuracy, sensitivity and specificity of the proposed method on DRIVE database is 94.50%, 69.63%, 98.16% respectively. The proposed method exhibits good segmentation performance, relatively complete segmented vascular network, and improving the sensitivity to detection of small blood vessels..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 75 (2025)
Improved detection of unusual highway traffic events for YOLOv8
REN Anhu, LI Yufei, and CHEN Yang
An improved YOLOv8n target detection algorithm is proposed to address the low detection accuracy, the excessive amount of detection model parameters affecting the detection speed, the omission and misdetection of small target detection, and the satisfaction of real-time detection of highways that exists in the existingAn improved YOLOv8n target detection algorithm is proposed to address the low detection accuracy, the excessive amount of detection model parameters affecting the detection speed, the omission and misdetection of small target detection, and the satisfaction of real-time detection of highways that exists in the existing UAV aerial detection images. The CBAM attention mechanism is added to the neck network structure to increase the detail information of small targets and improve the feature extraction accuracy; the original backbone network is replaced with MobileNetV3 network structure, and the overall network is improved by lightweighting, so as to improve the detection efficiency and detection accuracy; and the Focal-EIoU Loss is used to replace the original CIoU loss function, and the performance optimisation of the loss function is carried out to improve the detection model. function to optimise the performance and improve the generalisation ability of the detection model. The experimental validation of the model on the dataset shows that the improved MCF_v8n detection model outperforms the original model, with a reduction of about 23% in the number of parameters, a decrease of about 30% in the computation volume, and an improvement of 5.0 and 2.4 percentage points in mAP@0.5 and mAP@0.50 ∶ 0.95, respectively, which demonstrates good detection performance overall..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 84 (2025)
Optical distortion detectionbased on improved optical flow method
CHEN Zhiliang, FU Shengpeng, XIA Renbo, and ZHAO Jibin
One of the important indicators of the optical performance of windshields is optical distortion. Detecting optical distortion and making timely improvements is a key step in providing feedback on performance. A method based on feature extraction, the Lucas-Kanade (LK) optical flow distortion detection method, is proposOne of the important indicators of the optical performance of windshields is optical distortion. Detecting optical distortion and making timely improvements is a key step in providing feedback on performance. A method based on feature extraction, the Lucas-Kanade (LK) optical flow distortion detection method, is proposed in this paper. The method involves simultaneously down sampling the reference grid and the distorted grid, extracting feature corner points, calculating the deformation field of corresponding points, mapping the calculation results back to the original image layer, and performing a secondary optical flow calculation to obtain an accurate deformation field. This process effectively replaces the multi-level iteration of the optical flow pyramid, reducing detection time by 20% while ensuring detection accuracy and improving the efficiency of the optical flow method..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 91 (2025)
Roadside lidar drivable space detection based on improved FCN
ZHU Jinyu, YANG Ruonan, BAO Yujian, ZHANG Kai, TANG Erdi, and WANG Guiping
In order to improve the accuracy of road detection, a roadside lidar drivable space detection method based on an improved fully convolutional neural network (FCN) was proposed. Firstly, a two-dimensional top view is generated by building a ring grid map and counting the point cloud information in the grid. Then, a hybrIn order to improve the accuracy of road detection, a roadside lidar drivable space detection method based on an improved fully convolutional neural network (FCN) was proposed. Firstly, a two-dimensional top view is generated by building a ring grid map and counting the point cloud information in the grid. Then, a hybrid dilated convolution is introduced in FCN to replace the standard convolution, and a spatial feature alignment module is added after the pooling layer, and a channel feature alignment module is added after the convolution layer to construct HCS-FCN. HCS-FCN is compared with traditional FCN and SegNet on the self-constructed 16-line roadside lidar road dataset and 32-line roadside lidar road dataset. The experimental results show that the F1-score of HCS-FCN reaches 88.4% and 89.2% on the 16-line dataset and 32-line dataset respectively; the average pixel accuracy reaches 89.1% and 89.7% on the 16-line dataset and 32-line dataset respectively; the average pixel intersection over union ratio reaches 87.3% and 88.9% on the 16-line dataset and 32-line dataset respectively; all of which are better than traditional FCN and SegNet..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 97 (2025)
3D measurement technique of moving fringe projection based on iterative optimization
LIU Fangling, ZHAO Shuang, LI Zhengde, ZHOU Zhehai, LING Shuaishuai, ZAN Huixin, and HU Guoqing
The striped projection three-dimensional perception technology is widely used in object detection and three-dimensional measurement due to its advantages such as high precision, simple equipment, and dense point clouds. However, when measuring dynamic objects, unknown phase shifts may be introduced due to the differentThe striped projection three-dimensional perception technology is widely used in object detection and three-dimensional measurement due to its advantages such as high precision, simple equipment, and dense point clouds. However, when measuring dynamic objects, unknown phase shifts may be introduced due to the different positions of the objects in the striped projection, resulting in motion errors. Based on this, this paper proposes an algorithm based on iterative optimization to reduce motion errors. Firstly, the level of motion error is characterized through the distribution histogram, and a rough localization of the motion offset is conducted within a large interval. Then, two intervals with the smallest error values are found, and a refinement is performed in a smaller region to determine the accurate offset. Experimental results show that the proposed method in this paper improves the accuracy by 83.62% compared with before error compensation when the motion speed is 4.67 mm/s..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 106 (2025)
Human detection for aerial photography based on improved YOLOv8
MEN Dinghang, and TAN Qinhong
In order to solve the problem of high missed detection rate and false detection rate in human detection for drone aerial images, this paper proposes a human detection algorithm for aerial images based on improved YOLOv8. First, the C2f-pcp module was designed to lightweight the model by replacing the Bottleneck networkIn order to solve the problem of high missed detection rate and false detection rate in human detection for drone aerial images, this paper proposes a human detection algorithm for aerial images based on improved YOLOv8. First, the C2f-pcp module was designed to lightweight the model by replacing the Bottleneck network in C2f with the FasterNet-pcp network. Secondly, the original CIoU loss function of YOLOv8 is replaced with WIoUv3 to improve the detection accuracy of the model. Finally, the network structure is improved by adding small-scale target detection head, deleting large-scale target detection head and introducing BIFPN design to improve the model's small target detection ability and feature fusion ability. Experiments were conducted on the SARD data set. The results show that the average detection accuracy of this algorithm is 3.4% higher than YOLOv8n, reaching 81.3%, and has better detection results in emergency rescue scenarios..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 112 (2025)
Image restoration algorithm with integrated simplified dual adaptive attention mechanism
WANG Lei, HU Junhong, and REN Yang
Addressing the issues of high algorithm complexity, large model overhead, and poor restoration performance in current convolutional neural network-based image restoration algorithms under object motion blur scenarios, we propose a lightweight image restoration model, SCDNet, based on a simplified dual self-adaptive serAddressing the issues of high algorithm complexity, large model overhead, and poor restoration performance in current convolutional neural network-based image restoration algorithms under object motion blur scenarios, we propose a lightweight image restoration model, SCDNet, based on a simplified dual self-adaptive serial attention mechanism. To reduce model complexity, we introduce the SimpleGate module, which splits feature maps into two parts along the channel dimension and multiplies them to reduce the model overhead caused by non-linear activation functions. We efficiently capture superpixel-level global dependencies using the simplified dual self-adaptive serial attention mechanism and adaptively transmit them to pixels to enhance the algorithm's pixel representation capability. Finally, by combining MS-SSIM and L1 loss functions, we better preserve image contrast, color, and brightness information, thereby improving image restoration quality. Experimental results show that, compared to the Restormer algorithm, SCDNet achieves a 0.30 increase in PSNR and a 0.12 increase in SSIM on the GoPro dataset, while its model parameters are only 22.4% of Restormer's..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 119 (2025)
FPGA implementation of high-speed compression of laser streak images
HE Ji'ai, SHI Lintai, and XIN Jiale
Laser measurement technology is commonly used in industrial welding, quality control and other fields. Aiming at the problems of limited storage space and slow transmission speed faced by laser streak images during storage and transmission, a lossless image compression system based on Field Programmable Gate Array (FPGLaser measurement technology is commonly used in industrial welding, quality control and other fields. Aiming at the problems of limited storage space and slow transmission speed faced by laser streak images during storage and transmission, a lossless image compression system based on Field Programmable Gate Array (FPGA) is proposed. Firstly, the image noise is filtered by Hampel filtering, and the stripe recognition is realized by the method of gray scale statistics. Then, the JPEG-LS (Joint Photographic Experts Group-Lossless) algorithm is improved by combining the Gaussian weighted window technique to improve the accuracy of pixel estimation. Finally, experimental verification is carried out on the Artix-7 series FPGA platform, and the experimental results show that the average compression rate is 25%, and a compression rate of 232 Mpixles/s is realized on the basis of the system cost reduced to 40% of the original..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 128 (2025)
A low illumination lidar image missing region completion algorithm based on U-Net and GAN
LIU Xiangling, REN Yong, and WANG Lu
In low illumination environment, the image quality of LiDAR images often decreases significantly due to insufficient illumination, background noise interference, signal attenuation and other factors, and the missing area presents a complex and changeable shape, including different shapes, sizes and positions. These chaIn low illumination environment, the image quality of LiDAR images often decreases significantly due to insufficient illumination, background noise interference, signal attenuation and other factors, and the missing area presents a complex and changeable shape, including different shapes, sizes and positions. These characteristics are time-varying, resulting in low accuracy of the missing area of the image completion. Therefore, a missing area completion algorithm based on U-Net and GAN for low illumination LiDAR images is proposed. By using the encoder and decoder of U-Net network, the dual attention mechanism is added to the cross-layer connection between the lower sampling and the upper sampling, and the dynamic learning rate attenuation strategy is introduced to optimize the segmentation model of missing regions. According to GAN, the missing area of the image is completed, and the low-dimensional structure information of the image is restored by using the pre-completion model. The high-dimensional texture information of the missing area of the image is restored by the enhanced completion model. Experimental analysis shows that the proposed algorithm has a peak signal-to-noise ratio (PSNR) of 34.511dB and an information fidelity (VIF) of 0.974, which can obtain a satisfactory completion effect of the missing area of the low illumination lidar image..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 135 (2025)
Fluorescent image segmentation based on multi-scale attention
TANG Jun, CAO Zhixing, and DU Wei
Addressing the challenges of overlapping cell contours and morphological diversity in fluorescence cell image segmentation, this study proposes a segmentation algorithm that integrates an adaptive multi-scale attention mechanism with a boundary-sensitive loss function. Initially, to enhance the model's adaptabilityAddressing the challenges of overlapping cell contours and morphological diversity in fluorescence cell image segmentation, this study proposes a segmentation algorithm that integrates an adaptive multi-scale attention mechanism with a boundary-sensitive loss function. Initially, to enhance the model's adaptability to the morphology of cells at various scales, an adaptive multi-scale channel attention mechanism was proposed, which, in conjunction with a feature pyramid, constructs a multi-scale attention pyramid structure, thereby improving the network's ability to extract features of complex cell shapes. Subsequently, a boundary-sensitive cross-entropy loss function was designed, which by assigning greater weights to the prediction of cell boundary regions, enhanced the network's precision in recognizing cell edges. Experimental outcomes indicate that the proposed method surpasses existing advanced models in terms of the average Dice coefficient (mDice) and the average Intersection over Union (mIoU) scores on fluorescence cell image datasets, substantiating the efficacy of the proposed method in the task of fluorescence image segmentation..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 142 (2025)
Laser range image compression algorithm based on adaptive DPCM and LZW
ZHANG Yukun, WU Jun'an, ZHAO Xu, and HAO Xin
With the development of computer vision and 3D reconstruction, laser range image compression has become an important research direction in laser range image processing, in order to reduce the data size and improve the image processing efficiency while maintaining the depth information quality. By analyzing the arithmetWith the development of computer vision and 3D reconstruction, laser range image compression has become an important research direction in laser range image processing, in order to reduce the data size and improve the image processing efficiency while maintaining the depth information quality. By analyzing the arithmetic coding of the original DPCM and LZW, an image compression scheme based on the combination of adaptive DPCM and LZW coding method was proposed. Firstly, the adaptive DPCM is used for interspectral prediction, the DPCM intra-frame prediction is used to output the residual image and quantize the residual image, and then the quantized residual image is output by LZW encoding, and finally it is evaluated and compared with the algorithm referenced in the article and the original algorithm. The test results show that the algorithm can effectively compress the image without affecting the image viewing effect, and the average compression ratio is 4.958, which is 246.71%%, 61.39%, 173.92% and 123.03% higher than the comparison algorithm in the paper, respectively..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 152 (2025)
Visual communication enhancement of distributed optoelectronic sensor images based on SPGD algorithm
WAN Le
There is a problem of detail loss in the images collected by distributed photoelectric sensors. To address the above issues, a distributed photoelectric sensor based image visual communication enhancement method based on SPGD algorithm is studied. Perform color correction on images collected by distributed photoelectriThere is a problem of detail loss in the images collected by distributed photoelectric sensors. To address the above issues, a distributed photoelectric sensor based image visual communication enhancement method based on SPGD algorithm is studied. Perform color correction on images collected by distributed photoelectric sensors to restore the true color of the image. Using clustering algorithms to divide pixels in an image into several homogeneous regions with similar characteristics. For each region, the SPGD algorithm is used to implement detail enhancement processing, and after fusion, the complete visual communication enhanced image is obtained. The results show that with the enhancement of SPGD algorithm, the image texture becomes clearer, the details are significantly enhanced, the image information entropy can reach over 16, the MSE is basically maintained at around 0.1, and the PSNR value can reach up to 33.5 dB, indicating that the enhanced image contains more detail information, has less distortion, and has a good image enhancement effect..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 159 (2025)
Fluorescence microscopy images super-resolution reconstruction based on unsupervised deep learning
CHEN Dongyu, and CHENG Yu
Aiming at the problems of high difficulty and high cost in acquiring existing high-quality paired datasets for fluorescence microscopy and the artifacts easily generated by image super-resolution at low fluorescence levels, this paper proposes an unsupervised method based on super-resolution reconstruction of fluoresceAiming at the problems of high difficulty and high cost in acquiring existing high-quality paired datasets for fluorescence microscopy and the artifacts easily generated by image super-resolution at low fluorescence levels, this paper proposes an unsupervised method based on super-resolution reconstruction of fluorescence microscopy images, which realizes pre-training-free image super-resolution by incorporating this paper's innovative sparsity extraction module and attention gates into encoder-decoder network model, and obtains reconstruction more consistent with human senses. by incorporating the innovative sparsity extraction module and attention gate into the encoder-decoder network model in this paper, to realize pre-training-free image super-resolution reconstruction and to obtain reconstruction more in line with human senses. Experiments are conducted on three different cellular structure datasets from the publicly available dataset BioSR to evaluate the method approach of this paper. Taking the first signal-to-noise level dataset of Microtubules as an example, the method improves 7 dB on PSNR, 0.21 on SSIM and reduces 4.6 on NIQE compared to the classical unsupervised algorithm DIP. Overall, the present method is more suitable for super-resolution tasks in fluorescence microscopy..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 165 (2025)
Small feature enhancement method for super-resolution images under multi frequency laser pulses
WANG Wei, FENG Wenguo, and FEI Li
In the imaging process, aiming at the problem that the scattering of multi-frequency laser pulse will make the image fuzzy and lead to the ambiguity of small features, a small feature enhancement method under multi-frequency laser pulse is proposed. The super-resolution image is reconstructed by using the least weighteIn the imaging process, aiming at the problem that the scattering of multi-frequency laser pulse will make the image fuzzy and lead to the ambiguity of small features, a small feature enhancement method under multi-frequency laser pulse is proposed. The super-resolution image is reconstructed by using the least weighted square filter, the reflection component is calculated by the enhancement function of edge preservation, and the image enhancement coefficients of each image block are calculated, and the adjacent image blocks are merged by block difference factor. The parameter information of each pixel is obtained through the interpolation of enhanced parameters of super-resolution image blocks, and then the small features of the image are enhanced. The experimental results show that the maximum PSNR value of the proposed method is 32.1 dB, the color information retention rate is 0.82 to 0.93, the information entropy is up to 9.997, the SSIM is up to 0.982, and the small features enhancement effect of super resolution images is good..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 173 (2025)
Differential pulse position modulation of visible light communication considering transmission time slots
XIONG Qiangqiang, YAN Linbo, and FAN Xin
In visible light communication systems, if there is a problem with the pulse signal, it can cause signal distortion and inter symbol interference, seriously affecting the communication quality of the optical communication system. The traditional differential pulse position modulation method does not fully consider the In visible light communication systems, if there is a problem with the pulse signal, it can cause signal distortion and inter symbol interference, seriously affecting the communication quality of the optical communication system. The traditional differential pulse position modulation method does not fully consider the impact of transmission time slots and channel characteristics on pulse position, resulting in errors and performance degradation during demodulation. Therefore, a research method for visible light communication differential pulse position modulation considering transmission time slots is proposed. Based on the visible light communication model, select the diffuse reflection transmission type in the link to obtain the pulse signal response relationship of the communication system. Based on the response relationship, determine the influencing factors of pulse delay, benchmark the frequency relationship between pulse delay and transmission time slot in the link, refer to the upper and lower boundary theory, and calculate the boundary range of differential pulse position modulation. Based on the modulation boundary and considering the channel pulse transmission time slot, determine the differential pulse position modulation equation, and design the differential pulse position modulation method for visible light communication. The experimental results show that when the pulse delay occurs in different transmission paths in the visible light communication system, the proposed method can guarantee a lower bandwidth power index, stably realize the pulse modulation of the communication system, and thus reduce the transmission bit error rate in the path..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 179 (2025)
Fiber laser network echo signal enhancement method based on genetic neural network
WU Wenquan, REN Zhihong, and YAN Jingjing
The echo signals in fiber laser networks are affected by factors such as optical attenuation and dispersion, resulting in complex and diverse characteristics of the echo signals, which reduces the effectiveness of signal enhancement. Therefore, a genetic neural network-based method for enhancing the echo signals in fibThe echo signals in fiber laser networks are affected by factors such as optical attenuation and dispersion, resulting in complex and diverse characteristics of the echo signals, which reduces the effectiveness of signal enhancement. Therefore, a genetic neural network-based method for enhancing the echo signals in fiber laser networks is proposed. Using empirical mode decomposition method, the original echo signal is decomposed into several intrinsic mode functions, and rough penalty functions are used for smoothing to suppress signal noise. Based on the Gaussian function fitting method, extract features that are consistent with the denoised echo signal function rules. Based on the feature extraction results of the echo signal, genetic algorithm is used to optimize the weights and thresholds of the neural network. Multiple training operations are performed to output the optimal solution sequence, which is the echo signal enhancement result, avoiding the impact of changes in echo signal features on the enhancement result. The experimental results show that this method can effectively suppress noise in the echo signal, accurately extract the waveform change characteristics of the echo signal, and achieve a peak signal-to-noise ratio of up to 42.3 dB..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 185 (2025)
A visible light communication signal detection method based on compressive sensing
XU Guiju, FEI Li, ZENG Guoqing, and TENG Yuping
The application scenarios of visible light communication signals are different. In order to achieve information transmission and reception in practical visible light application scenarios, a visible light communication signal detection method based on compressive sensing is proposed. The method first establishes a visiThe application scenarios of visible light communication signals are different. In order to achieve information transmission and reception in practical visible light application scenarios, a visible light communication signal detection method based on compressive sensing is proposed. The method first establishes a visible light communication channel model, and obtains the current visible light communication signal, uses the compressed sensing algorithm, obtains the visible light communication signal without Gaussian white noise, analyzes the main component analysis of the visible light communication signal characteristic parameters, and obtains the different signal features of the visible light communication signal in the visible light communication signal. Then, principal component analysis is performed on the characteristic parameters of the visible light communication signal to obtain different signal features within the visible light communication signal, After modulating the visible light communication signal based on this feature, the detection result of the visible light communication signal is obtained. The experimental results show that the visible light communication channel model established by this method can accurately obtain the visible light communication signal in the current environment. After implementing compressed sensing reconstruction on the visible light communication signal, the interference noise contained in the signal can be effectively removed, and different types of communication signals in the visible light communication signal can be accurately detected. The application effect is significant..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 191 (2025)
Research on mathematical model of data transmission in optical communication networks based on deep learning
ZHANG Le, and CHENG Ni
In optical communication networks, faulty data affects the quality of data transmission. Therefore, a deep learning based mathematical model for data transmission in optical communication networks was designed. Convolutional neural networks were used to extract the characteristics of data transmission in optical communIn optical communication networks, faulty data affects the quality of data transmission. Therefore, a deep learning based mathematical model for data transmission in optical communication networks was designed. Convolutional neural networks were used to extract the characteristics of data transmission in optical communication networks, and data categories were output through fully connected layers and Softmax classifiers. To prevent overfitting, L1 regularization penalty term and optimization activation function are introduced to achieve parameter sparsity. At the same time, the convolutional neural network is connected to the input layer of the deep confidence network, and feedback fine-tuning of the classification results is performed using reverse training. The experimental results show that the data classification error of the model is less than 1.7%, and the output data is highly consistent with the actual data, effectively improving the data transmission quality of the optical communication network..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 196 (2025)
Research on real time detection of hybrid intrusion behavior in fiber optic sensor networks
LU Sichen, and WANG Fujun
Hybrid intrusion behavior often only occurs in one or more local locations, and there is a certain degree of aggregation in time, which cannot capture its complex features well. Therefore, a real-time detection method for hybrid intrusion behavior in fiber optic sensing networks is proposed. Using the average zero crosHybrid intrusion behavior often only occurs in one or more local locations, and there is a certain degree of aggregation in time, which cannot capture its complex features well. Therefore, a real-time detection method for hybrid intrusion behavior in fiber optic sensing networks is proposed. Using the average zero crossing rate and short-term energy as indicators to segment a certain segment of the signal, reducing the accumulated processing delay, and extracting fiber optic sensing signals that may have intrusion behavior. Further extracting signal features through high-order spectral analysis, sample entropy analysis, and singular value analysis, constructing and utilizing multi-layer gradient descent method to train multiple deep neural networks, and inputting the extracted features into the corresponding deep neural networks, and the mixed intrusion behavior detection results are output through the Softmax function. Finally, the improved D-S evidence theory is used to correlate and fuse the detection results output by each deep neural network, implement real-time detection of hybrid intrusion behavior in fiber optic sensing networks. The experimental results show that the proposed method has more accurate intrusion behavior detection results, lower memory and CPU usage..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 202 (2025)
Vehicle multi object detection method based on fusion Convolutional Neural Network
CAO Jia, ZHENG Qiumei, and DUAN Hongzhou
In practical scenarios, vehicle targets are often obstructed by other vehicles, buildings, and other objects, and the background may also be very complex. To ensure detection accuracy, a vehicle multi-target detection method combining convolutional neural networks and LiDAR is proposed. Using LiDAR to capture vehicle tIn practical scenarios, vehicle targets are often obstructed by other vehicles, buildings, and other objects, and the background may also be very complex. To ensure detection accuracy, a vehicle multi-target detection method combining convolutional neural networks and LiDAR is proposed. Using LiDAR to capture vehicle target images, the collected vehicle driving images are divided into two sides based on their lane line characteristics. The area within the lane line is used as the initial region of interest (ROI) for vehicle multi-target detection. In the ROI, the vehicle bottom shadow hypothesis region segmentation method is used to obtain the hypothesis region for vehicle detection targets. On the basis of the original convolutional neural network, further optimization is carried out to design a deformable convolutional neural network (DF-R-CNN) model. The assumed region obtained is used as the candidate region for vehicle multi-target detection required by the network model, and accurate detection of vehicle multi-targets is achieved through this model. The experimental results show that the highest recall rate of the proposed method reaches 85%, and the lowest loss function value is about 1.8, indicating that it has high detection accuracy and effectiveness..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 208 (2025)
Research on CVD diamond polishing based on nanosecond laser composite ion beam etching technology
FENG Yusen, ZHAO Zhiyan, YU Yanhao, XU Yin, XU Dihua, and LI Aiwu
CVD diamond with high surface flatness has very promising applications in microtools, optical windows, semiconductors and other fields. However, the high hardness, high wear resistance and chemical inertness of CVD diamond make the high-precision polishing of CVD diamond a great challenge. To address the difficulty of CVD diamond with high surface flatness has very promising applications in microtools, optical windows, semiconductors and other fields. However, the high hardness, high wear resistance and chemical inertness of CVD diamond make the high-precision polishing of CVD diamond a great challenge. To address the difficulty of diamond polishing, nanosecond laser composite ion beam etching technology was used to polish CVD diamond, and an experimental study on laser polishing of polycrystalline CVD diamond was carried out to investigate the effects of laser power and scanning speed on the ablation depth and surface roughness of CVD diamond, based on which ion beam etching and polishing of CVD diamond after laser polishing was carried out, and the changes in the surface roughness of diamond under ion beam polishing were investigated. The surface roughness change was investigated, and the surface composition of diamond after ion beam polishing was analyzed. An excellent polishing effect of reducing the surface roughness of CVD diamond samples from 6.687 μm to 0.804 μm was realized by the described method. This study provides a diamond polishing method designed to have applications in fields such as infrared windows, micro-milling machines, and aerospace..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 214 (2025)
Mathematical model analysis of influence of laser selective melting parameters on thermophysical process
FAN Bingqian, and SHEN Xian
The influence of laser selective melting parameters on the thermal physical process is analyzed by establishing a mathematical model. Taking moving Gaussian heat source as fixed heat source, a laser selective melting heat source model is established, and based on this, the heat transfer control equation is designed. ByThe influence of laser selective melting parameters on the thermal physical process is analyzed by establishing a mathematical model. Taking moving Gaussian heat source as fixed heat source, a laser selective melting heat source model is established, and based on this, the heat transfer control equation is designed. By dealing with the latent heat of phase change in the governing equation, the phase change process of the thermal physical process of the material is analyzed. The thermal property parameters of materials were analyzed by setting global variables. Based on heat source model, governing equation, latent heat treatment of phase transition and thermal property parameter analysis, a mathematical model of the influence of thermal physical process is established. The finite element method is used to solve the mathematical model and analyze the influence of laser melting parameters such as laser power and scanning rate on thermal physical processes such as temperature and molten pool size. The test results show that the laser power has a significant effect on the temperature field of thermal-physical process and the size of molten pool. Appropriately increasing the laser power will expand the maximum temperature distribution range of molten channel, reduce the spheroidization of molten channel, solve the problem of molten channel bending, increase the size of molten pool, and improve the quality of parts. The scanning rate also has a significant effect on the temperature field and the size of the molten pool. Properly reducing the scanning rate can increase the size of the molten pool and better control the thermal physical process. The influence of beam diameter on temperature field and molten pool size is small..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 222 (2025)
Research on position self calibration of intelligent robots in complex scenes based on laser SLAM
LI Li
The rapid development of robotics technology has led to its increasingly widespread application in various complex scenarios. However, these scenes are usually dynamic and subject to effects such as uneven lighting and occlusion, which can affect the positioning accuracy of robots. Therefore, a research on position selThe rapid development of robotics technology has led to its increasingly widespread application in various complex scenarios. However, these scenes are usually dynamic and subject to effects such as uneven lighting and occlusion, which can affect the positioning accuracy of robots. Therefore, a research on position self calibration of intelligent robots in complex scenes based on laser SLAM is proposed. Using coverage grid map and posterior probability to construct a robot movement map, in order to ensure the accuracy of robot position self calibration results, particle filtering algorithm is introduced. The position state sample set is obtained through importance sampling principle, and the prior probability of robot position state is obtained based on the position state transition function and sensor observation principle. Bayesian formula is used to update the prior probability and obtain the posterior probability. Monte Carlo simulation is used to The Dirac function updates the position state weights, uses resampling to remove the degraded parts of the position state weights, and obtains the optimal calibration result through multiple iterations. The experimental results show that laser SLAM can achieve intelligent robot position self calibration in complex scenes, with small positioning error and fast convergence speed..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 228 (2025)
Surface defect recognition method for mechanical parts under laser 3D point cloud
HAN Jinyu, ZHAO Xin, and JIANG Yaping
In order to improve the effectiveness of defect recognition and enhance the quality of mechanical parts, a laser 3D point cloud based surface defect recognition method for mechanical parts is proposed. Using HandySCAN 3D laser scanner to collect three-dimensional point cloud data on the surface of mechanical parts, andIn order to improve the effectiveness of defect recognition and enhance the quality of mechanical parts, a laser 3D point cloud based surface defect recognition method for mechanical parts is proposed. Using HandySCAN 3D laser scanner to collect three-dimensional point cloud data on the surface of mechanical parts, and removing external interference through statistical filtering; Using the Sampling Consistency Initial Registration (SAC-IA) method and the improved ICP method to achieve coarse and fine registration of 3D point cloud data on the surface of mechanical parts, aligning point cloud data from different perspectives and lighting conditions, and providing complete and consistent 3D point cloud data on the surface of mechanical parts for subsequent defect recognition; By training point cloud data using an unsupervised defect detection method based on GAN, the features of surface defects on mechanical parts are automatically learned, achieving accurate recognition of surface defects on mechanical parts. The experimental results show that the proposed method has high recognition accuracy and adaptability..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 234 (2025)
Research on visual test technology of aero-engine temperature field based on laser diagnosis
ZHAO Fei
In the research of aero-engine test technology, Visual measurement of two dimensional temperature field is very important. In order to study the life of turbine blades and turbulent combustion problems, the most direct way is to get the temperature field. In recent years, visual temperature measurement technology basedIn the research of aero-engine test technology, Visual measurement of two dimensional temperature field is very important. In order to study the life of turbine blades and turbulent combustion problems, the most direct way is to get the temperature field. In recent years, visual temperature measurement technology based on laser diagnosis has been the mainstream of research. laser induced phosphorescence (LIP), planar laser induced fluorescence (PLIF), and tunable diode laser absorption tomography (TDLAT) has been gradually applied in the field of aero-engine. This paper mainly introduces the above three methods of aero-engine temperature field measurement based on laser diagnosis, the basic principle and research status at home and abroad are reviewed, the advantages and disadvantages of different temperature measurement techniques are analyzed, as well as the scope of application. Finally, the main existing problems and development trends are discussed..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 240 (2025)
Design of laser tracking system based on two-dimensional galvanometer
XU Rui, ZHAO Zhongyi, SUN Ying, and WANG Enqi
In order to realize the tracking and detecting of spot position, an optical tracking system using two dimensional galvanometer and four quadrant detector is designed. In terms of hardware design, a signal acquisition circuit based on precision operational amplifier is designed to collect signals captured by four-quadraIn order to realize the tracking and detecting of spot position, an optical tracking system using two dimensional galvanometer and four quadrant detector is designed. In terms of hardware design, a signal acquisition circuit based on precision operational amplifier is designed to collect signals captured by four-quadrant detectors and achieve reliable and accurate output. In the realization of the system, according to the characteristics of the galvanometer optical tracking system, the system program structure is designed, and the spot center algorithm is combined with the hardware system. After debugging, the program structure is optimized and the spot accuracy is analyzed. The results show that the laser tracking system is able to track light spots stably through the experimental platform testing and collecting multiple sets of data..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 246 (2025)
3D reconstruction of laser composite imaging under weighted Gaussian matching filtering
LI Feng, LI Yan, and SHI Binbin
Laser composite imaging 3D reconstruction is achieved through laser scanning and image processing algorithms to achieve high-precision 3D reconstruction of objects or scenes. However, in practical applications, due to the interference of lighting intensity and noise, technology is difficult to accurately capture pixel Laser composite imaging 3D reconstruction is achieved through laser scanning and image processing algorithms to achieve high-precision 3D reconstruction of objects or scenes. However, in practical applications, due to the interference of lighting intensity and noise, technology is difficult to accurately capture pixel details, textures, and brightness features, resulting in a certain deviation between the reconstructed 3D image and reality. To this end, a three-dimensional reconstruction method for laser composite imaging under weighted Gaussian matching filtering is proposed. Based on the mechanism of laser composite imaging, a scanning equation is established to generate laser images. The image noise is smoothed using neighborhood averaging method, and pixel contrast is matched through kernel function and convolution operation. A three-dimensional reconstruction model is established using Markov random field. After distance fidelity and regularization operation, the three-dimensional reconstruction of laser composite imaging is achieved. The experimental results show that after weighted Gaussian matching filtering, the reconstructed results can realistically display the three-dimensional images of objects and scenes, with small errors and high structural similarity..
Laser Journal
- Publication Date: Apr. 17, 2025
- Vol. 46, Issue 1, 251 (2025)
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