Classification of rice appearance quality based on LS-SVM using machine vision

Communications in Computer and Information Science

Volumn 307 CCIS, Issue PART 1, 2012, Pages 104-109

  Chen, Xiai ^a   Ke, Shuang ^b   Wang, Ling ^a   Xu, Hong ^a   Chen, Wenquan ^a  

^a CHINA JILIANG UNIVERSITY   (China)

^b Zhejiang Economic and Trade Polytechnic   (China)

Author keywords

Appearance quality; GA; Image processing; LS SVM; Machine vision; Rice

Indexed keywords

BROKEN RICE; CLASSIFICATION METHODS; LEAST SQUARES SUPPORT VECTOR MACHINES; LS-SVM; MACHINE VISION SYSTEMS; MINIMUM ENCLOSING RECTANGLE; QUALITY DETECTION; RICE;

GALLIUM; IMAGE PROCESSING; SUPPORT VECTOR MACHINES;

COMPUTER VISION;

EID: 84867506808     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-34038-3_15     Document Type: Conference Paper

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