Enhancement of Mammograms with Periphery Brightness Compensation
Yuting Tang, Junfeng Wang · 2020
Mammography is an effective way for early diagnosis of breast cancer. The enhancement of mammograms is essentially important for the diagnosis. This can be achieved by high-pass filtering and grayscale mapping. However, the details in the periphery of the breast may be lost because the breast is bright except its dark periphery in the mammogram. In this paper, we present a technique for the enhancement of mammograms with periphery brightness compensation. First, the image is decomposed into a base image and a detail image. Especially, the decomposition is adaptive such that no artifacts are made on the boundary of the breast in the detail image. Then, the periphery brightness is compensated by a Gamma correction in the base image, and the detail image is linearly amplified. Finally, the base image and the detail image are summed and mapped to obtain an image with significantly enhanced details, even in the periphery of the breast. Some experimental results indicate the effectiveness and the advantage of this technique.