Abstract

The importance of color information for the automatic diagnosis of skin tumors by computer vision is demonstrated. The utility of the relative color concept is proved by the results in identifying variegated coloring. A feature file paradigm is shown to provide an effective methodology for the independent development of software modules for expert system/computer vision research. An automatic induction tool is used effectively to generate rules for identifying variegated coloring. Variegated coloring can be identified at rates as high as 92% when using the automatic induction technique in conjunction with the color segmentation method

Department(s)

Electrical and Computer Engineering

Second Department

Chemistry

Keywords and Phrases

Artificial Intelligence; Automatic Diagnosis; Automatic Induction Tool; Color Information; Color Segmentation Method; Computer Vision; Expert System; Expert Systems; Feature File Paradigm; Medical Diagnostic Computing; Skin; Skin Tumors; Software Modules; Variegated Coloring Identification

International Standard Serial Number (ISSN)

0739-5175

Document Type

Article - Journal

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1991 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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