Segmentation of cucumber disease leaf image based on MDMP-LSM

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 28, Issue 21, 2012, Pages 142-148

  Jiang, Haiyang ^a,b   Zhang, Jian ^b   Yuan, Yuan ^b   He, Miantao ^a   Zheng, Shouguo ^b  

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

^b INSTITUTE OF INTELLIGENT MACHINES   (China)

Author keywords

Complex background; Crops; Diseases; Image segmentation; Level set method; Multiple domain multiple phase

Indexed keywords

ACCURACY RATE; COMPLEX BACKGROUND; CROP DISEASE; CROP LEAVES; CUCUMBER DISEASE; DISTRIBUTION CHARACTERISTICS; LEAF IMAGES; LEVEL SET FUNCTIONS; LEVEL SET METHOD; MULTIPLE DOMAINS; PHASE LEVELS; SPATIAL DOMAINS;

CROPS; DISEASES; DROP BREAKUP; IMAGE SEGMENTATION; LEVEL MEASUREMENT;

DIAGNOSIS;

EID: 84871052858     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2012.21.020     Document Type: Article

References (21)

1. Tian Youwen, Li Chenghua. Color image segmentation method based on statistical pattern recognition for plant disease diagnose[J]. Journal of Jilin University: Eng and Technol Ed, 2004, 34(2): 291-293. (in Chinese with English abstract)
2. Qi Guangyun, Ma Xiaodan, Guan Hai'ou. Extraction of the image of soybean target leaf spot based on improved genetic algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(5): 142-145. (in Chinese with English abstract)
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 (Transactions of the CSAE), 2010, 26(Supp.2): 32-37. (in Chinese with English abstract)
4. Sun Guangming, Yang Kaisheng, Zhang Chuanqing, et al. Identification of barley scab based on multi-spectral imaging technology[J]. Transactions of the CSAE, 2009, 25(Supp.2): 204-207. (in Chinese with English abstract)
5. Lai Junchen, Tang Xiujuan, Xie Ruizhi, et al. Leaf disease spots segmentation based on Gauss-MRF model[J]. Scientia Agricultura Sinica, 2010, 43(7): 1363-1369. (in Chinese with English abstract)
6. Zhang Jianhua, Qi Lijun, Ji Ronghua, et al. Cotton diseases identification based on rough sets and BP neural network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(7): 161-167. (in Chinese with English abstract)
7. Liu Libo, Zhou Guomin. Identification method of rice leaf blast using multilayer perception neural network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(Supp.2): 213-217. (in Chinese with English abstract)
8. Tan Feng, Gao Yanping. Investigation of the method for non-destructive measurement of leaf area based on image[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(5): 170-173. (in Chinese with English abstract)
9. Ding Hao, Ai Juaoyan. The analysis of black rot spot based on computer vision[J]. Computing Technology and Automation, 2007, 26(1): 115-117. (in Chinese with English abstract)
10. Zhang Y C, Mao H P, Hu B, et al. Extracting fractal feature of spot morphology of plant diseases in digital image[J]. Micro-computer Information, 2007, 23(33): 295-297. (in Chinese with English abstract)
11. Amini, A.A., Tehrani, S, Weymouth, et al, Using dynamic programming for minimizing the energy of active contours in the presence of hard constraints. Proc. Second ICCV. 1988: 95-99
12. Berger M O, Mohr R. Towards Autonomy in Active Contour Models. Proc. 10th Int. Conf. Patt. Recogn. Atlantic City, NY, 1990(1): 847-851
13. Vicent Caselles, Francine Catté, Tomeu Coll, et al, A geometric model for active contours in image processing[J]. Numer. Math., 1993, 66(1): 1-31.
14. Geng Nan, Yu Wei, Ning Jifeng. Segmentation of agricultural images using level set and prior information[J]. Transactions of the Chinese Society for Agricultural Machinery, 2011, 42(9): 167-172. (in Chinese with English abstract)
15. Yuan Yuan, Li Miao, Liang Qing, et al. Segmentation method for crop disease leaf images with complex background[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(2): 208-212. (in Chinese with English abstract)
16. Mao Liang, Xue Yueju, Kong Deyun, et al. Litchi image segmentation algorithm based on sparse field level set[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(4): 345-349. (in Chinese with English abstract)
17. Chan F T, Vese L. Active contours without edges[J]. IEEE Transactions on Image Processing, 2001, 10(2): 266-277.
18. Vese L A, Chan T F. A multiphase level set framework for image segmentation using the Mumford and Shah model[J]. The International Journal of Computer Vision, 2002, 50(3): 271-293.
19. Wang Xiaofeng, Huang Deshuang, Xu Huan. An efficient local Chan-Vese model for image segmentation[J]. Pattern Recognition, 2010(43): 603-618.
20. Li Chunming, Kao C, Gore J, et al. Minimization of region-scalable fitting energy for image segmentation[J]. IEEE Transaction on Image Processing, 2008, 17(10): 1940-1949.
21. De Luis García R, Deriche R, Rousson M, et al. Tensor processing for texture and colour segmentation[C] Scandinavian Conference on Image Analysis, 2005: 1117-1127.