Automated diagnosis for segmentation of colonoscopic images using chromatic features

Canadian Conference on Electrical and Computer Engineering

Volumn 2, Issue , 2002, Pages 1177-1180

  Tjoa, M P ^a   Krishnan, S M ^a   Doraiswami, R ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Chromatic features; Colonoscopic image segmentation; Computer assisted diagnosis

Indexed keywords

ALGORITHMS; FUZZY SETS; IMAGE SEGMENTATION; MEDICAL IMAGING; TUMORS;

CHROMATIC FEATURES;

COMPUTER AIDED DIAGNOSIS;

EID: 0036061566     PISSN: 08407789     EISSN: None     Source Type: Journal    
DOI: 10.1109/CCECE.2002.1013115     Document Type: Article

References (8)

1. Segmentation of clinical endoscopic image based on homogeneity and hue
2. Color image segmentation based on fuzzy rule-base reasoning applied to colonoseopie images
3. Automatic feature extraction from esophageal endoscopic images
4. Minimum cross-entropy threshold selection
5. A hierarchical approach to color image segmentation using homogeneity