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Mammograms enhancement using wavelet transform and piecewise linear and nonlinear coefficient mapping

机译:使用小波变换和分段线性和非线性系数映射的乳房X线照片增强

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In this paper a multi-scale image enhancement strategy using wavelets as applied to digital mammograms is presented. For multiresolution wavelet analysis redundant dyadic discrete wavelet transform is utilized to allow translation invariance and low resolution enhancement capability. Two alternative nonlinear gain adjustments, piecewise linear and Gaussian form of gain adjustment are used for coefficient modification for the enhancement of subtle details such as microcalcification and low resolution edges of different lesion types. The results of comparing these methods of gain adjustment are presented. This comparing has done by defining new parameters for measuring quality of image based on the extent of sharpening of image segments. Utility of the proposed image enhancement algorithm in mammographic applications is illustrated by an improved visual quality and increase in contrast enhancement measure as applied to different types of abnormalities.
机译:本文提出了一种将小波应用于数字乳腺X线照片的多尺度图像增强策略。对于多分辨率小波分析,利用冗余二进离散小波变换来实现平移不变性和低分辨率增强能力。两种可选的非线性增益调整,分段线性和高斯形式的增益调整,用于系数修改,以增强细微的细节,例如微钙化和不同病变类型的低分辨率边缘。给出了比较这些增益调整方法的结果。通过基于图像片段的锐化程度定义用于测量图像质量的新参数来完成此比较。所提出的图像增强算法在乳腺摄影应用中的效用通过改善的视觉质量和增加的对比度增强措施(适用于不同类型的异常)来说明。

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