1 April 2007 Novel contrast enhancement approach based on fuzzy homogeneity
Author Affiliations +
Optical Engineering, 46(4), 047002 (2007). doi:10.1117/1.2721973
Contrast enhancement is an important issue in image processing, pattern recognition, and computer vision. There are two major kinds of techniques for contrast enhancement: indirect methods and direct methods. The indirect approach is to modify the histogram by changing the original gray levels to new values; it is not efficient and effective because it only stretches the global distribution of the intensities. The basic idea of the direct method is to define a measurement of the contrast and use it to enhance the contrast. Fuzzy logic has been widely applied to image processing since fuzzy set theory can handle the uncertainly, vagueness, and imprecision inherent in the images well. The proposed approach employs the fuzzy entropy principle and fuzzy set theory to automatically determine fuzzy membership functions and uses fuzzy homogeneity to define the contrast and enhance the image. We have conducted experiments on a variety of images, and the results have proved that the proposed method has better performance than the existing approaches.
Heng-Da Cheng, M. Xue, X. J. Shi, M. Zhang, "Novel contrast enhancement approach based on fuzzy homogeneity," Optical Engineering 46(4), 047002 (1 April 2007). http://dx.doi.org/10.1117/1.2721973

Image enhancement

Fuzzy logic

Image contrast enhancement

Image processing

Direct methods

Optical engineering

Computer vision technology

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