Zhi-fen WANG, Wei-kuan JIA, Shan-hao MOU, Su-juan HOU, Xiang YIN, Ji ZE, [in Chinese]. KDC: A Green Apple Segmentation Method[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2980
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 9, 2980 (2021)
Fig. 1. Flow chart of improved density peak clustering green apple segmentation algorithm
Fig. 2. Green apple image under various real conditions
Fig. 3. Green apple image and super pixel segmentation of green apple image
(a): Green apple image, size: 6 000×4 000;(b): Green apple image after super pixel segmentation, a total of 3172 super pixel regions
(a): Green apple image, size: 6 000×4 000;(b): Green apple image after super pixel segmentation, a total of 3172 super pixel regions
Fig. 4. (a) Original image; (b) Area under the R channel with a pixel value greater than 130; (c) Area under the G channel with a pixel value greater than 130; (d) Area under the B channel with a pixel value greater than 130
Fig. 5. Numerical distribution of green apple target and background in R-B image and G-B image
Fig. 6. The regional mean feature space of the green apple image area on the R-B image and the G-B image
Fig. 7. Local density distribution of data points
Fig. 8. Decision diagram (the horizontal axis is the local density and the vertical axis is the distance)
Fig. 9. The ratio of the number of cluster pixels to the total number of pixels (percentage)
Fig. 10. Algorithm output imag
(a): Original green apple image; (b): Improved density peak clustering result map;(c): Improved density peak clustering segmentation map
(a): Original green apple image; (b): Improved density peak clustering result map;(c): Improved density peak clustering segmentation map
Fig. 11. Segmentation effect diagram of the method
Fig. 12. Results of five clustering segmentation image segmentation algorithms
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Table 1. Statistics of evaluation indicators of five clustering segmentation algorithms
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