Researching | Microorganism Contour Segmentation Method Using Imaging Models and Fourier Descriptors

Journals >Laser & Optoelectronics Progress >Volume 62 >Issue 2 >Page 0237007 > Article

Laser & Optoelectronics Progress
Vol. 62, Issue 2, 0237007 (2025)

Microorganism Contour Segmentation Method Using Imaging Models and Fourier Descriptors

Hao Yang^1、2、*, Shengbing Shi³, Liangliang Yao⁴, Dian Gui^1、2, Lu Shi^1、2, Jinyu Zhao¹, and Haoran Meng¹

Author Affiliations

¹Key Laboratory of Advanced Manufacturing of Optical Systems, Changchun Institute of Optics, Precision Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, Jilin , China

²University of Chinese Academy of Sciences, Beijing 100049, China

³Chinese People's Liberation Army Unit 63850, Baicheng 137000, Jilin , China

⁴Army Equipment Department Military Representative Office in Chongqing Region, Kunming Branch, Kunming 650000, Yunnan , China

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DOI: 10.3788/LOP241162 Cite this Article Set citation alerts

Hao Yang, Shengbing Shi, Liangliang Yao, Dian Gui, Lu Shi, Jinyu Zhao, Haoran Meng. Microorganism Contour Segmentation Method Using Imaging Models and Fourier Descriptors[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0237007 Copy Citation Text

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References

[1] Nayak A R, Malkiel E, McFarland M N et al. A review of holography in the aquatic sciences: in situ characterization of particles, plankton, and small scale biophysical interactions[J]. Frontiers in Marine Science, 7, 572147(2021).

[2] Liu J, Pi D P, Wang Y T. Research progress of real-time holographic 3D display technology[J]. Acta Optica Sinica, 43, 1509001(2023).

[3] He B E, Zhang L P, Gong X J et al. Digital holographic microscopy-based dynamic behavior characterization of micro-nano particles[J]. Laser & Optoelectronics Progress, 60, 0811006(2023).

[4] Moniruzzaman M, Islam S M S, Bennamoun M et al. Deep learning on underwater marine object detection: a survey[M]. Advanced concepts for intelligent vision systems, 10617, 150-160(2017).

[5] Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation[M]. Medical image computing and computer-assisted intervention-MICCAI 2015, 9351, 234-241(2015).

[6] Shelhamer E, Long J, Darrell T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 640-651(2017).

[7] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C], 2980-2988(2017).

[8] Chen L C, Papandreou G, Kokkinos I et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 834-848(2018).

[9] Wang H, Dong L, Song W et al. Improved U-Net-based novel segmentation algorithm for underwater mineral image[J]. Intelligent Automation & Soft Computing, 32(2022).

[10] Cao X T, Rong S H, Liu Y B et al. NUICNet: non-uniform illumination correction for underwater image using fully convolutional network[J]. IEEE Access, 8, 109989-110002(2020).

[11] Wang J K, He X H, Shao F M et al. Semantic segmentation method of underwater images based on encoder-decoder architecture[J]. PLoS One, 17, e0272666(2022).

[12] Jones R, Wykes C[M]. Holographic and speckle interferometry(1989).

[13] Jaffe J S. Computer modeling and the design of optimal underwater imaging systems[J]. IEEE Journal of Oceanic Engineering, 15, 101-111(1990).

[14] Jetley S, Sapienza M, Golodetz S et al. Straight to shapes: real-time detection of encoded shapes[C], 4207-4216(2017).

[15] Kuhl F P, Giardina C R. Elliptic Fourier features of a closed contour[J]. Computer Graphics and Image Processing, 18, 236-258(1982).

[16] Schmidt U, Weigert M, Broaddus C et al. Cell detection with star-convex polygons[M]. Medical image computing and computer-assisted intervention-MICCAI 2018, 11071, 265-273(2018).

[17] Guerrero-Peña F A, Fernandez P D M, Ren T I et al. Multiclass weighted loss for instance segmentation of cluttered cells[C]. Greece, 2451-2455(2018).

[18] Kumar N, Verma R, Sharma S et al. A dataset and a technique for generalized nuclear segmentation for computational pathology[J]. IEEE Transactions on Medical Imaging, 36, 1550-1560(2017).

[19] Leng S Y, Qiao J H, Wang L Q et al. Rapid qualitative analysis of wool content based on improved U-Net++ and near-infrared spectroscopy[J]. Spectroscopy and Spectral Analysis, 43, 303-309(2023).

[20] He K M, Gkioxari G, Dollar P et al. Mask R-CNN[C], 2980-2988(2017).

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Hao Yang, Shengbing Shi, Liangliang Yao, Dian Gui, Lu Shi, Jinyu Zhao, Haoran Meng. Microorganism Contour Segmentation Method Using Imaging Models and Fourier Descriptors[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0237007

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