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首页> 外文会议>2015 IEEE Student Symposium in Biomedical Engineering amp; Sciences >Mammographic image enhancement for breast cancer detection applying wavelet transform
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Mammographic image enhancement for breast cancer detection applying wavelet transform

机译：应用小波变换的乳腺X线图像增强技术在乳腺癌检测中的应用

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摘要

Mammography is the most effective method for the early detection of breast cancer. However, low contrast and noisy images of mammogram makes difficulty to recognize the typical diagnostic signs such as micro-calcifications and masses. This paper introduces a new approach for image enhancement based on wavelet transform processing. Enhanced image is achieved by decomposition the mammogram images in different frequency sub bands, manipulate them by mathematical morphology, and Laplacian Kernel edge enhancement filtering, and, finally, reconstructing mammogram image from the sub bands. The results has been presented and qualitatively and quantitatively compared with two known mammogram enhancement algorithms. The quantitative analysis is also in agreement with the qualitative analysis.
机译：乳房X线照相术是早期发现乳腺癌的最有效方法。但是，乳房造影的低对比度和嘈杂图像使难以识别典型的诊断体征，例如微钙化和肿块。本文介绍了一种基于小波变换处理的图像增强新方法。通过分解不同频率子带中的乳房X线照片，通过数学形态学和Laplacian Kernel边缘增强滤波来处理它们，最后从子带中重建乳房X射线照片，从而获得增强图像。已经提出了结果，并与两种已知的乳房X线照片增强算法进行了定性和定量比较。定量分析也与定性分析一致。

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