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Volumn , Issue , 2012, Pages 346-351

Detection and classification of apple fruit diseases using complete local binary patterns

Author keywords

K Means Clustering; Local Binary Pattern; Multi class Support Vector Machine; Texture Classification

Indexed keywords

AGRICULTURAL INDUSTRIES; APPLE FRUITS; AUTOMATIC CLASSIFICATION; CLASSIFICATION ACCURACY; ECONOMIC LOSS; K-MEANS CLUSTERING; K-MEANS CLUSTERING TECHNIQUES; LOCAL BINARY PATTERNS; MULTI-CLASS SUPPORT VECTOR MACHINES; SEGMENTED IMAGES; STATE OF THE ART; TEXTURE CLASSIFICATION;

EID: 84873506759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCT.2012.76     Document Type: Conference Paper
Times cited : (167)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.