Suitability of Gabor filter for denoising and contrast enhancement of digital mammograms

V. Vedanarayanan, N. Nandhitha
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引用次数: 5

Abstract

Breast cancer is the major cause for higher mortality rate in women. One in every eight women is diagnosed with breast cancer. Abnormal growth of tissues in the breast region causes cancer. Detection of breast cancer in the early stage increases the recovery rate. Detecting the breast lesions is done by filming the region by passing low dose x-ray on the specified region. This film is known as mammogram. Detecting the lesion from mammograms is a complex process which involves imaging analysis. Mammogram images are low contrast and may contain noise due to the sensitivity of scanning machine and motion artifacts. To denoise and enhance the mammogram, filtering methods can be applied. In this paper a Gabor filter bank based Denoising algorithm has been proposed.
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Gabor滤波器对数字乳房x线照片去噪和对比度增强的适用性
乳腺癌是妇女死亡率较高的主要原因。每八个妇女中就有一个被诊断患有乳腺癌。乳腺组织的异常生长会导致癌症。早期发现乳腺癌可以提高治愈率。检测乳腺病变是通过在指定区域通过低剂量x射线拍摄该区域来完成的。这种胶片被称为乳房x光片。从乳房x光检查中发现病变是一个复杂的过程,涉及成像分析。乳房x光图像对比度低,由于扫描机器的灵敏度和运动伪影,可能含有噪声。为了去噪和增强乳房x光片,可以使用滤波方法。本文提出了一种基于Gabor滤波器组的噪声去噪算法。
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