An Improved Median Filtering System and Its Application of Calcified Lesions' Detection in Digital Mammograms

Authors:
Kun Wang;Yuejian Xie;Sanli Li;Yunpeng Chai
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, China 100084;Department of Computer Science and Technology, Tsinghua University, Beijing, China 100084;Department of Computer Science and Technology, Tsinghua University, Beijing, China 100084;Department of Computer Science and Technology, Tsinghua University, Beijing, China 100084
Venue:
Medical Imaging and Informatics
Year:
2008

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Abstract

Median filtering is an important approach in digital image processing for noise elimination or extraction. The time cost and detection quality of the filtering system are two convention measures, depending on the sliding window size. In this paper, an improved median filter, Adaptive Sliding Window --- Simultaneous Deleting and Inserting (ASW-SDI) system, is proposed for calcified lesions' detection in digital mammograms, increasing the quality of detection and also reducing the time cost. It changes the size of sliding windows adaptively and uses the same pixels in two neighboring windows, deleting and inserting a line of pixels in a single array traverse. It is especially appropriate for images with a small quantity of large noises and a mass of salt & pepper noises. In the breast cancer computer-aided diagnosis experiments, ASW-SDI works efficiently in calcified lesion extraction.