Artificial intelligence

Abstract: This article is devoted to description and experimental researches the abilities of the low-contrast images algorithm processing. The purpose of this processing is to enhance the brightness characteristics of the original image, namely, enhancing contrast to improve the reliability of visual analysis. This is achieves due to using fuzzy sets, window transformations and usage local and global statistical characteristics The experimental researches of the proposed algorithm for real medical images processing are shown.

Keywords: low-contrast image, a fuzzy membership function, fuzzification, window conversion, brightness characteristics, an adaptive method

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