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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测绘的乳房X线照片

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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:本文介绍了使用应用于数字乳房X线图的小波的多尺度图像增强策略。对于多分辨率小波分析,利用冗余二元离散小波变换来允许平移不变性和低分辨率增强能力。两个替代的非线性增益调整,分段线性和高斯的增益调整形式用于增强微钙化细节的系数修改,例如微钙化和不同病变类型的低分辨率边缘。介绍了比较这些增益调整方法的结果。这种比较通过根据图像段锐化的程度来定义用于测量图像质量的新参数来完成的。所提出的乳房X XMPOCH应用中提升图像增强算法的实用性通过改进的视觉质量和对比增强措施增加,其应用于不同类型的异常。

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