Detection of fungal damaged popcorn using image property covariance features

Computers and Electronics in Agriculture

Volumn 84, Issue , 2012, Pages 47-52

  Yorulmaz, Onur ^a   Pearson, Tom C ^b   Çetin, Enis A ^a  

^a BILKENT UNIVERSITY   (Turkey)

^b U S DEPARTMENT OF AGRICULTURE   (United States)

Author keywords

Correlation features; Covariance features; Fungus detection on popcorn kernels; Image processing; SVM

Indexed keywords

COLOR CHANNELS; CORRELATION FEATURES; COVARIANCE FEATURES; COVARIANCE MATRICES; ECONOMIC LOSS; FALSE POSITIVE; IMAGE COORDINATES; IMAGE PIXELS; IMAGE PROCESSING - METHODS; IMAGE PROPERTIES; INTENSITY VALUES; KERNEL IMAGE; RECOGNITION RATES; SECOND DERIVATIVES; SORTING SYSTEM; SUPPORT VECTOR MACHINE (SVM); SVM;

IMAGE PROCESSING; LOSSES; SUPPORT VECTOR MACHINES;

COVARIANCE MATRIX;

COMPUTER SIMULATION; CORRELATION; CROP DAMAGE; DETECTION METHOD; FUNGAL DISEASE; FUNGUS; IMAGE ANALYSIS; MAIZE; MATRIX; PIXEL; VARIANCE ANALYSIS;

FUNGI; NEMOPHILA; PSEUDOMUGILIDAE;

EID: 84858968469     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.02.012     Document Type: Article

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