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http://dx.doi.org/10.9717/kmms.2015.18.7.806

The Clip Limit Decision of Contrast Limited Adaptive Histogram Equalization for X-ray Images using Fuzzy Logic  

Cho, Hyunji (Dept. of Information Systems Eng., Hansung University)
Kye, Heewon (Dept. of Information Systems Eng., Hansung University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.7, 2015 , pp. 806-817 More about this Journal
Abstract
The contrast limited adaptive histogram equalization(CLAHE) is an advanced method for the histogram equalization which is a common contrast enhancement technique. The CLAHE divides the image into sections, and applies the contrast limited histogram equalization for each section. X-ray images can be classified into three areas: skin, bone, and air area. In clinical application, the interest area is limited to the skin or bone area depending on the diagnosis region. The CLAHE could deteriorate X-ray image quality because the CLAHE enhances the area which doesn't need to be enhanced. In this paper, we propose a new method which automatically determines the clip limit of CLAHE's parameter to improve X-ray image quality using fuzzy logic. We introduce fuzzy logic which is possible to determine clip limit proportional to the interest of users. Experimental results show that the proposed method improve images according to the user's preference by focusing on the subject.
Keywords
Histogram Equalization; Contrast Limited Adaptive Histogram Equalization; Clip Limit; Fuzzy Logic;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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