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 image
s with a satisfactory result.