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Mammograms contrast enhancement based on background homogenization

机译:基于背景均质化的乳腺X线照片对比度增强

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Breast cancer is one of the most pervasive women diseases. Mammography can greatly facilitate the early detection of breast cancer. The low quality of the mammogram undermines the accuracy of diagnosis. Image enhancement techniques are often used to enhance the mammogram contrast and assist the radiologists to detect the cancer. Histogram Equalization (HE) is one of the most widely used methods for enhancement. However, after HE processing, dark region remains unfading. The edge of mammogram which provides important information for diagnosing usually belongs to dark regions. To increase the luminance range, we proposed a new method for contrast enhancement by compressing luminance and applying HE. The intensity depends on the mean values of both small windows and the original image. The proposed algorithm showed promising performance when applied on several mammogram.
机译:乳腺癌是最普遍的女性疾病之一。乳房X线照相会促进早期发现乳腺癌。低质量的乳房X线照片会破坏诊断的准确性。图像增强技术通常用于增强乳房X光检查并辅助放射科学家检测癌症。直方图均衡(他)是最广泛使用的增强方法之一。但是,在他处理之后,暗区仍然是不变的。乳房X线照片的边缘提供了用于诊断的重要信息通常属于暗区。为了增加亮度范围,我们提出了一种通过压缩亮度和应用他的对比增强方法。强度取决于小窗口和原始图像的平均值。当施加在几种乳房X光线照片上时,所提出的算法表现出了有希望的性能。

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