A Novel Integration Scheme Based on Mean Shift and Region-Scalable Fitting Level Set for Medical Image Segmentation
Peirui Bai, Dandan Song, Lijun Bi, Lei Li, Tao Qi · Advances in computer science research · 2015
In this study, a novel integration scheme for coupling the results of mean shift with initial contours of the region-scalable fitting level set method (RSF model) is presented.There are two main contributions in the study.First, a new adaptive threshold formula to fit dynamic range of the mean shift clustering results is proposed.Second, a double-side mapping mode is presented to improve the robustness of initialization.Experimental results demonstrate the adaptability and robustness of the proposed method, and accurate segmentation could be obtained for medical images.