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Proceedings Paper

Boundary detection and color segmentation in skin tumor images
Author(s): Fikret Ercal; Madhav Moganti; W. V. Stoecker; Randy H. Moss
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Paper Abstract

Boundary detection has been recognized as one of the difficult problems in image processing and pattern analysis, in particular in medical imaging applications. There is no unified approach to this problem which has been found to be application dependent. In this paper, we present a simple and yet effective method to find the borders of tumors as an initial step towards the diagnosis of skin tumors from their color images. The method makes use of an adaptive color metric from red, green, and blue (RGB) planes that contain information to discriminate the tumor from the background. Using this suitable coordinate transformation the image is segmented. The tumor portion is then extracted from the segmented image and borders are drawn. Experimental results which verify the effectiveness of our approach are given.

Paper Details

Date Published: 29 July 1993
PDF: 11 pages
Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148704
Show Author Affiliations
Fikret Ercal, Univ. of Missouri/Rolla (United States)
Madhav Moganti, Univ. of Missouri/Rolla (United States)
W. V. Stoecker, Univ. of Missouri/Rolla (United States)
Randy H. Moss, Univ. of Missouri/Rolla (United States)

Published in SPIE Proceedings Vol. 1905:
Biomedical Image Processing and Biomedical Visualization
Raj S. Acharya; Dmitry B. Goldgof, Editor(s)

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