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Proceedings Paper

Regional adaptive histogram equalization using fuzzy sets
Author(s): Koichi Ogawa; Atsuhisa Saito; Masato Nakajima; Yutaka Ando; Shozo Hashimoto
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Paper Abstract

Contrast Limited Adaptive Histogram Equalization (CLAHE) which was developed to enhance regional contrast of an image was improved by using fuzzy sets. In the proposed method gray level transformation of each pixel is performed using each cumulative distribution function calculated from a histogram of pixel values in a contextual region of the target pixel. We optimized two parameters for making the cumulative distribution function that is size of contextual regions and a clipping level of the histogram for each pixel by using fuzzy logic. The results of simulation showed that the method not only yielded optimum contrast at any regions of an image but also reduced boundary artifacts appeared on images processed by a conventional CLAHE algorithm. 1.

Paper Details

Date Published: 1 July 1990
PDF: 10 pages
Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990); doi: 10.1117/12.18914
Show Author Affiliations
Koichi Ogawa, Keio Univ. (Japan)
Atsuhisa Saito, Keio Univ. (Japan)
Masato Nakajima, Keio Univ. (Japan)
Yutaka Ando, Keio Univ. (Japan)
Shozo Hashimoto, Keio Univ. (Japan)

Published in SPIE Proceedings Vol. 1233:
Medical Imaging IV: Image Processing
Murray H. Loew, Editor(s)

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