NDLI: Colour segmentation for lesion classification

Content Provider	IEEE Xplore Digital Library
Author	Round, A.J. Duller, A.W.G. Fish, P.J.
Copyright Year	1997
Description	Author affiliation: SEECS, Wales Univ., Bangor, UK (Round, A.J.)
Abstract	The incidence of skin cancer is increasing globally. Prognosis falls quickly as malignant skin cancers develop and so early detection is paramount in the fight against this disease. Colour is an important feature in the differential diagnosis of skin cancers in particular malignant melanoma. This paper describes a region based approach to segmentation of lesion images into areas of differing colour. The process initially divides the image into rectangular regions small enough to be considered as having only a single colour. This is then followed by conservative merging, where adjacent regions whose colours are very similar are coalesced. The segmentation is then completed by an iterative optimal merging process, the two most similar regions being merged at each step until the stopping condition is reached. Results show that the method produces a robust segmentation of regions of high colour contrast.
Starting Page	582
Ending Page	585
File Size	584205
Page Count	4
File Format	PDF
ISBN	0780342623
ISSN	1094687X
DOI	10.1109/IEMBS.1997.757677
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-30
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesions Skin cancer Malignant tumors Image segmentation Merging Robustness Image color analysis Marine animals Table lookup Cancer detection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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