Segmentation of cucumber leaf disease images with complex background

Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Volumn 44, Issue 10, 2013, Pages 233-237

  Yuan, Yuan ^a,b   Li, Miao ^b   Chen, Sheng ^c   Jiang, Haiyang ^c   Dong, Jun ^b  

^a ANHUI AGRICULTURAL UNIVERSITY   (China)

^b INSTITUTE OF INTELLIGENT MACHINES   (China)

^c UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Complex background; Cucumber; ExG; Graph cuts; Image segmentation; OTSU

Indexed keywords

COMPLEX BACKGROUND; CUCUMBER; EXG; GRAPH CUT; OTSU;

COLOR; GRAPHIC METHODS;

IMAGE SEGMENTATION;

EID: 84887309514     PISSN: 10001298     EISSN: None     Source Type: Journal    
DOI: 10.6041/j.issn.1000-1298.2013.10.037     Document Type: Article

References (14)

1. Zhao Jinhui, Luo Xiwen, Zhou Zhiyan. Image segmentation method for sugarcane diseases based on color and shape features [J]. Transactions of the Chinese Society for Agricultural Machinery, 2008, 39(9): 100-103, 133. (in Chinese)
2. Qi Guangyun, Ma Xiaodan, Guan Haiou. Extraction of the image of soybean target leaf spot based on improved genetic algorithm [J]. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(5): 142-145. (in Chinese)
3. Li Guanlin, Ma Zhanhong, Huang Chong, et al. Segmentation of color images of grape diseases using K_means clustering algorithm [J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(Supp.2): 32-37. (in Chinese)
4. Wang Shouzhi, He Dongjian, Han Jinyu. Color image segmentation method for corn diseases based on parallelized firing PCNN [J]. Transactions of the Chinese Society for Agricultural Machinery, 2011, 42(11): 148-153. (in Chinese)
5. Hu Qiuxia, Tian Jie, He Dongjian, et al. Segmentation of plant lesion image using improved C-V model [J]. Transactions of the Chinese Society for Agricultural Machinery, 2012, 43(5): 157-161. (in Chinese)
6. Ford L, Fulkerson D. Flows in networks [M]. New Jersey: Princeton University Press, 1962.
7. Hou Ye, Guo Baolong. Segmentation of motion objects based on graph cuts and C-V model [J]. Journal of Optoelectronics·Laser, 2008, 19(12): 1662-1665. (in Chinese)
8. Hou Ye, Guo Baolong. Fast method of motion segmentation based on graph cuts [J]. System Engineering and Electronics, 2009, 31(12): 2998-3001. (in Chinese)
9. Deng Yu, Li Hua. Combination of multiple features for object/background segmentation using graph cut [J]. Journal of Computer Research and Development, 2008, 45(10): 1724-1730. (in Chinese)
10. Rother C, Kolmogorov V, Blake A. "GrabCut": Interactive foreground extraction using iterated graph cuts [C]//ACM Transactions on Graphics, Special Issue: Proceedings of the 2004 SIGGRAPH Conference, 2004, 23(3): 309-314.
11. Li Y, Sun J, Tang C K, et al. Lazy snapping[J]. ACM Transactions on Graphics, 2004, 23(3): 303-308.
12. Boykov Y, Veksler O, Zabih R. Fast approximate energy minimization via graph cuts [C]//Proceedings of the 7th IEEE International Conference on Computer Vision, 1999, 1: 377-384.
13. Goldberg A V, Tarjan R E. A new approach to the maximum-flow problem [J]. Journal of the Association for Computing Machinery, 1988, 35(4): 921-924.
14. Boykov Y, Kolmogorov V. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(9): 1124-1137.