Tsallis Entropy Based Contrast Enhancement of Microcalcifications

J. Mohanalin, P. Kalra, Nirmal Kumar
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引用次数: 15

Abstract

This paper presents a new approach to enhance thecontrast of microcalcifications in mammograms using afuzzy algorithm based on Tsallis entropy. In phase I imageis fuzzified using S membership function. In Phase II usingthe non-uniformity factor calculated from local informationthe contrast of Microcalcifications were enhanced whilesuppressing the background heavily. This is the first time inliterature to propose an enhancement algorithm usingTsallis entropy. Tsallis entropy has an extra parameter q.We assume that grade of mammogram is related with qparameter. The values of q were calculated from thehistogram. The proposed approach can be even suitable fordense mammograms.
基于Tsallis熵的微钙化对比增强
本文提出了一种基于Tsallis熵的模糊算法增强乳房x线微钙化图像对比度的新方法。在第一阶段,使用S隶属函数对图像进行模糊化。在第二阶段,利用局部信息计算的非均匀性因子,增强了微钙化的对比度,同时严重抑制了背景。这是文献中首次提出使用tsallis熵的增强算法。Tsallis熵有一个额外的参数q,我们假设乳房x光片的分级与qparameter相关。从直方图中计算q的值。所提出的方法甚至可以适用于密集乳房x光检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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