Jiawei Zhu, Zhaohui Jiang, Shilan Hong, Huimin Ma, Jianpeng Xu, Maosheng Jin. Panicle Segmentation and Characteristics Analysis of Rice During Filling Stage Based on Neural Architecture Search[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2210012

Search by keywords or author
- Laser & Optoelectronics Progress
- Vol. 59, Issue 22, 2210012 (2022)

Fig. 1. Panicle segmentation dataset

Fig. 2. Overall flow of algorithm

Fig. 3. Schematic of different convolutions. (a) Normal convolution; (b) dilated convolution
![Structure of DeepLabV3Plus network[13]](/Images/icon/loading.gif)
Fig. 4. Structure of DeepLabV3Plus network[13]
![Schematic of DARTS[16]](/Images/icon/loading.gif)
Fig. 5. Schematic of DARTS[16]

Fig. 6. Modified ASPP

Fig. 7. Curvature calculation

Fig. 8. Segmentation results of three network models

Fig. 9. H channel first moment-second moment scatter diagram

Fig. 10. Contrast diagram of color feature of typical samples

Fig. 11. Area ratio - dispersion scatter diagram

Fig. 12. Contrast diagram of sparse and dense panicle of typical samples

Fig. 13. H channel first moment-mean curvature scatter diagram

Fig. 14. Contrast diagram of bending of panicle of typical samples
|
Table 1. Distribution of panicle segmentation image dataset
|
Table 2. Operating collection of search space
|
Table 3. Evaluation indexes for segmentation of three models

Set citation alerts for the article
Please enter your email address