Nondestructive identification of cherry-tomato varieties based on multi-spectral image technology

Advanced Materials Research

Volumn 108-111, Issue 1, 2010, Pages 262-267

  Yang, Kaishenga ^a   Nie, Pengcheng ^a   Feng, Leib ^a   He, Yong ^a   Chen, Shuangshuang ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Discriminant analysis; Least square support vector machine; Multi spectral image; Nondestructive identification; Threshold segmentation

Indexed keywords

3CCD MULTI-SPECTRAL IMAGER; DISCRIMINANT ANALYSIS MODEL; LEAST SQUARE SUPPORT VECTOR MACHINES; MULTISPECTRAL IMAGES; NONDESTRUCTIVE IDENTIFICATION; NUTRITIVE VALUES; PREDICTION ACCURACY; SVM MODEL; THRESHOLD SEGMENTATION; TOMATO VARIETIES; XINJIANG;

DISCRIMINANT ANALYSIS; IMAGE SEGMENTATION; MATHEMATICAL MORPHOLOGY; SUPPORT VECTOR MACHINES;

FRUITS;

EID: 77954210592     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.108-111.262     Document Type: Conference Paper

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