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Erschienen in:
2008 | OriginalPaper | Buchkapitel
An Improved Median Filtering System and Its Application of Calcified Lesions’ Detection in Digital Mammograms
verfasst von : Kun Wang, Yuejian Xie, Sanli Li, Yunpeng Chai
Erschienen in: Medical Imaging and Informatics
Verlag: Springer Berlin Heidelberg
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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.