Abstract
A simple and yet effective method for finding the borders of tumors is presented as an initial step towards the diagnosis of skin tumors from their color images. The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating 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 that verify the effectiveness of this approach are given
Recommended Citation
F. Erçal et al., "Detection of Skin Tumor Boundaries in Color Images," IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers (IEEE), Jan 1993.
The definitive version is available at https://doi.org/10.1109/42.241892
Meeting Name
41st IAS Annual Meeting of the Industry Applications Conference, 2006
Department(s)
Computer Science
Second Department
Chemistry
Third Department
Electrical and Computer Engineering
Keywords and Phrases
35 Mm Colour Photographic Slides; Adaptive Color Metric; Color Images; Coordinate Transformation; Medical Diagnostic Technique; Medical Image Processing; Photographic Applications; Segmented Image; Skin; Skin Tumor Boundaries Detection
International Standard Serial Number (ISSN)
0278-0062
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1993 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 1993
