A sparse representation based fast detection method for surface defect detection of bottle caps

Neurocomputing

Volumn 123, Issue , 2014, Pages 406-414

  Zhou, Wenju ^a,b,c   Fei, Minrui ^a,c   Zhou, Huiyu ^c   Li, Kang ^a,c  

^a SHANGHAI UNIVERSITY   (China)

^b LUDONG UNIVERSITY   (China)

^c QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

Bottle cap; Circular region projection histogram (CRPH); Fast detection; Sparse representation; Surface defect

Indexed keywords

DETECTING DEFECTS; FAST DETECTIONS; ORIENTATION CODES; PROJECTION HISTOGRAMS; SIZE AND POSITION; SPARSE REPRESENTATION; SURFACE DEFECT DETECTIONS; THE REGION OF INTEREST (ROI);

COMPUTER VISION; DEFECTS; GRAPHIC METHODS; SURFACE DEFECTS;

BOTTLES;

ALGORITHM; ARTICLE; CIRCULAR REGION PROJECTION HISTOGRAM; EXPERIMENTAL STUDY; HISTOGRAM; IMAGE ANALYSIS; IMAGE PROCESSING; MEASUREMENT ACCURACY; NORMAL DISTRIBUTION; ORIENTATION CODE METHOD; PRIORITY JOURNAL; QUALITY CONTROL; SURFACE PROPERTY; VELOCITY; VISUAL ORIENTATION;

EID: 84885849010     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.07.038     Document Type: Article

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