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Tsallis Entropy Based Contrast Enhancement of Microcalcifications

机译:基于Tsallis熵的微钙化对比度增强

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This paper presents a new approach to enhance the contrast of microcalcifications in mammograms using a fuzzy algorithm based on Tsallis entropy. In phase I image is fuzzified using S membership function. In Phase II using the non-uniformity factor calculated from local information the contrast of microcalcifications were enhanced while suppressing the background heavily. This is the first time in literature to propose an enhancement algorithm using Tsallis entropy. Tsallis entropy has an extra parameter q. We assume that grade of mammogram is related with q parameter. The values of q were calculated from the histogram. The proposed approach can be even suitable for dense mammograms.
机译:本文提出了一种基于Tsallis熵的模糊算法来增强乳腺X线照片微钙化对比度的新方法。在第一阶段,使用S隶属度函数对图像进行模糊处理。在阶段II中,使用了根据本地信息计算出的不均匀因子,微钙化的对比度得到了增强,同时极大地抑制了背景。这是文献中首次提出使用Tsallis熵的增强算法。 Tsallis熵具有一个额外的参数q。我们假设乳房X光照片的等级与q参数有关。从直方图计算q的值。所提出的方法甚至可以适用于密集的乳房X光照片。

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