Border Detection on Digitized Skin Tumor Images

Z. Zhang
William V. Stoecker, Missouri University of Science and Technology
Randy Hays Moss, Missouri University of Science and Technology

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A radial search technique is presented for detecting skin tumor borders in clinical dermatology images. First, it includes two rounds of radial search based on the same tumor center. The first-round search is independent, and the second-round search is knowledge-based tracking. Then a rescan with a new center is used to solve the blind-spot problem. The algorithm is tested on model images with excellent performance, and on 300 real clinical images with a satisfactory result