A mathematical morphological approach for segmenting heavily noise-corrupted images

Pattern Recognition

Volumn 29, Issue 8, 1996, Pages 1347-1358

  Lee, C K ^a   Wong, S P ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Mathematical morphology; Segmentation; Thresholding

Indexed keywords

IMAGE ENHANCEMENT; IMAGE PROCESSING; MATHEMATICAL TECHNIQUES; PATTERN RECOGNITION;

MATHEMATICAL MORPHOLOGY; THRESHOLDING;

IMAGE SEGMENTATION;

EID: 0030211807     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(96)86888-9     Document Type: Article

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