A fuzzy clustering segmentation method based on neighborhood grayscale information for defining cucumber leaf spot disease images

Computers and Electronics in Agriculture

Volumn 136, Issue , 2017, Pages 157-165

  Bai, Xuebing ^a,c   Li, Xinxing ^a,c,d   Fu, Zetian ^a,c,d   Lv, Xiongjie ^b   Zhang, Lingxian ^a,d  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b Tianjin Academy of Agricultural Sciences   (China)

^c Beijing Laboratory of Food Quality and Safety   (China)

^d AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

Author keywords

FCM; Image processing; Neighborhood grayscale; Target leaf; Weighted method

Indexed keywords

DIAGNOSIS; FUZZY CLUSTERING; GRADING; IMAGE PROCESSING; PIXELS;

CLUSTERING SEGMENTATION; COMPLEX BACKGROUND; GRAY SCALE; IMPROVED FUZZY C-MEANS; ROBUST SEGMENTATION; SEGMENTATION METHODS; WATER-SHED ALGORITHM; WEIGHTED METHOD;

IMAGE SEGMENTATION;

ACCURACY ASSESSMENT; ALGORITHM; BACTERIAL DISEASE; CLUSTER ANALYSIS; DICOTYLEDON; EXTRACTION METHOD; FUZZY MATHEMATICS; IMAGE PROCESSING; INFORMATION PROCESSING; LEAF; PIXEL; SEGMENTATION; WATERSHED;

CUCUMIS SATIVUS;

EID: 85015832167     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.03.004     Document Type: Article

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