Lettuce image target clustering segmentation based on MFICSC algorithm

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

Volumn 28, Issue 13, 2012, Pages 149-153

  Sun, Jun ^a   Wu, Xiaohong ^a   Zhang, Xiaodong ^a   Wang, Yan ^a   Gao, Hongyan ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Algorithms; Computer vision; Image segmentation; MFICSC; Otsu

Indexed keywords

CLUSTERING ACCURACY; CLUSTERING SEGMENTATION; FUZZY MEMBERSHIP; GRAY DISTRIBUTION; IMAGE EQUALIZATION; IMAGE GRAYS; LEAF IMAGES; MFICSC; NOISE SENSITIVITY; NONDESTRUCTIVE DETECTION; OTSU; OTSU ALGORITHM; TARGET SEGMENTATION;

ALGORITHMS; COMPUTER VISION; IMAGE SEGMENTATION;

CLUSTERING ALGORITHMS;

EID: 84865359483     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2012.13.024     Document Type: Article

References (26)

1. Zhao Jiewen, Zhou Xiaobing. Foundamental study on determination of leaves' moisture content based on near infrared image texture analysis[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 1999, 15(3): 39-43. (in Chinese with English abstract)
2. Mao Hanping, Wu Xuemei, Li Pingping. Recognition of tomato nutrient deficiency using aritificial neural network based on computer vision[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(8): 106-109. (in Chinese with English abstract)
3. Mao Hanping, Xu Guili, Li Pingping. Extracting and selecting features of leaf images for diagnosing nutrient deficiency diseases in tomatoes[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2003, 2(3): 133-136. (in Chinese with English abstract)
4. Mao Hanping, Hu Bo, Zhang Yancheng. Optimization of color index and threshold segmentation in weed recognition[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 9(9): 154-158. (in Chinese with English abstract)
5. Wang Lianjun, Xing Yu. Study on strawberry of n nutrition diagnosis using digital image processing technique[J]. Journal of South China Agricultural University, 2010, 31(2): 19-21. (in Chinese with English abstract)
6. Yang Wei, Nick Sigrimis, Li Minzan. Nitrogen content testing and diagnosing of cucumber leaves based on multispectral imagines[J]. Spectroscopy and Spectral Analysis, 2010, 30(1): 210-213. (in Chinese with English abstract)
7. Pagola M, Ortiz R, Irigoyen I. et al. New method to assess barley nitrogen nutrition status based on image colour analysis[J]. Comparison with SPAD-502. Computers and electronics in agriculture, 2009, 65(3): 213-218.
8. Zhang Xiaodong, Mao Hanping, Zuo Zhiyu, et al. Nondestructive testing method for rape water stress based on multi-spectral vision[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(3): 152-157. (in Chinese with English abstract)
9. Hong Tiansheng, Li Zhen, Wu Chunyin et al. Review of hyperspectral image technology for non-destructive inspection of fruit quality[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(11): 280-285. (in Chinese with English abstract)
10. Cai Jianrong, Wang Jianhei, Chen Quansheng, et al. Detection of rust in citrus by hyperspectral imaging technology and band ratio algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(1): 127-131. (in Chinese with English abstract)
11. Yin Jianjun, Mao Hanping, Wang Xinzhong, et al. Automatic segmentation method for multi-tomato images under various growth conditions[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(10): 149-153. (in Chinese with English abstract)
12. Mao Hanping, Li Mingxi, Zhang Yancheng. Image segmentation method based on multi-spectral image fusion an d morphology reconstruction[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(6): 174-178. (in Chinese with English abstract)
13. Yuan Daojun, Liu Anguo, Yuan Baozhong, et al. Nutrition information extraction of rape canopy based on computer- vision technology[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(12): 174-179. (in Chinese with English abstract)
14. Sun Jun. Improved 2D maximum between-cluster variance algorithm and its application to cucumber target segmentation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(10): l76-181. (in Chinese with English abstract)
15. Otsu N. A threshold selection method from gray level histograms[J]. IEEE Trans on SMC, 1979, 9(1): 62-69.
16. Wu Hao, Wang Ronggui, Fang Shuai, et al. Image segmentation algorithm research based on minimum within- cluster difference and maximum between-cluster difference[J]. Journal of Engineering Graphics, 2011, 32(1): 67-75. (in Chinese with English abstract)
17. Zhang Xinming, Sun Yinjie, Zhang Yanbin. Precise Two- Dimensional Otsu's Image Segmentation and Its Fast Recursive Realization[J]. Acta Electronica Sinica, 2011, 39(8): 1778-1784. (in Chinese with English abstract)
18. Yang Huaiyi. Application research on image segmentation method[J]. Computer simulation, 2012, 29(2): 229-232. (in Chinese with English abstract)
19. 2005.
20. Mao Hanping, Zhang Yancheng, Hu Bo. Segmentation of crop disease leaf images using fuzzy C-means clustering algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 9(9): 136-140. (in Chinese with English abstract)
21. Liu Muhua, Zhao Jiewen, Zhang Haidong. Segmentation of fat and lean meat in beef images based on fuzzy C-means clustering[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(2): 161-163. (in Chinese with English abstract)
22. Peng Lijun, He Lingmin, Yang Xiaobin. A picture segmentation method based on FCM[J]. Journal of China University of Metrology, 2011, 22(4): 369-372.
23. Xiaohong Wu, Bin Wu, Jun Sun. Mixed fuzzy inter-cluster separation clustering algorithm[J]. Applied Mathematical Modelling, 2011, 35(10): 4790-4795..
24. Kenneth R. Castleman. 2002, 2.
25. He M G, Harvey A L, Danuletti P. Car number plate detection with edge image improvement[C]//4th Int. Symp. on Signal Proc. And Its App, Gold Coast, Australia, 1996: 895-899.
26. Barni M, Cappellini V, Mecocci A. Comments on a possibilistic approach to clustering[J]. IEEE Trans. Fuzzy Syst. 1996, 4(3): 393-396.