Robust and efficient detection of non-lint material in cotton fiber samples

Proceedings of IEEE Workshop on Applications of Computer Vision

Volumn 2002-January, Issue , 2002, Pages 51-56

  Zhang, Yupeng ^a   Smith, P W ^a  

^a University of Tennessee   (United States)

Author keywords

Bayesian methods; Clustering algorithms; Cotton; Degradation; Design engineering; Image analysis; Image segmentation; Light sources; Pixel; Robustness

Indexed keywords

BAYESIAN NETWORKS; CLUSTERING ALGORITHMS; COLOR IMAGE PROCESSING; COMPUTER VISION; COTTON; DEGRADATION; IMAGE ANALYSIS; LIGHT SOURCES; PIXELS; ROBUSTNESS (CONTROL SYSTEMS);

BAYESIAN METHODS; CLUSTERING TECHNIQUES; COLOR VARIATIONS; DESIGN ENGINEERING; EFFICIENT DETECTION; HIGH-RESOLUTION MEASUREMENTS; IMAGE SEGMENTATION SYSTEM; WEIGHTED K-MEANS;

IMAGE SEGMENTATION;

EID: 79952157877     PISSN: 21583978     EISSN: 21583986     Source Type: Conference Proceeding    
DOI: 10.1109/ACV.2002.1182156     Document Type: Conference Paper

References (6)

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6. T. Kohonen, Self-Organinzing Maps, Springer Verlag, 1995.