Digital mammograms are commonly used for breast screening, especially to aid the detection of cancer. However, digital mammograms suffer with low contrast images due to the low exposure factors used. This paper presents a novel image enhancement technique for digital mammogram images known as Fuzzy Clipped Contrast-Limited Adaptive Histogram Equalization with Anisotropic Diffusion Filter (FC-CLAHE-ADF). This proposed FC-CLAHE-ADF has adopted a fuzzy-based and histogram-based image enhancement technique where it can further reduce the noise of the digital mammograms while preserving the contrast and brightness. A total of six digital mammograms were retrieved from Mammographic Image Analysis Society (MIAS) open-source database. The performance of FC-CLAHE-ADF was compared to Recursive Mean-Separate Histogram Equalization (RMSHE), Fast Discrete Curvelet Transform via Unequally Spaced Fast Fourier Transform (FDCT-USFFT), and FC-CLAHE only. In summary, this novel FC-CLAHE-ADF has provided the most superior results, among other selected enhancement techniques. The resulting images have been able to demonstrate breast lesions better.

数字乳房 X 光照片通常用于乳房筛查，尤其是帮助检测癌症。然而，由于使用的曝光系数较低，数字乳房 X 光照片的图像对比度较低。本文提出了一种用于数字乳房 X 线照片的新型图像增强技术，称为带有各向异性扩散滤波器的模糊裁剪对比度限制自适应直方图均衡 (FC-CLAHE-ADF)。这种提议的 FC-CLAHE-ADF 采用了基于模糊和直方图的图像增强技术，它可以在保留对比度和亮度的同时进一步降低数字乳房 X 光照片的噪声。从乳房 X 线图像分析协会 (MIAS) 开源数据库中检索了总共六张数字乳房 X 线照片。FC-CLAHE-ADF 的性能与递归平均分离直方图均衡化 (RMSHE) 进行了比较，通过不等距快速傅立叶变换 (FDCT-USFFT) 和 FC-CLAHE 进行快速离散曲波变换。总之，这种新颖的 FC-CLAHE-ADF 在其他选定的增强技术中提供了最优越的结果。由此产生的图像能够更好地展示乳房病变。