Adaptive and high accurate region growing image segmentation method based on region evolution

To overcome the difficulty of manual threshold selection and slow speed of conventional region growing image segmentation algorithm.An adaptive and high accurate region evolution image segmentation algorithm is proposed.Firstly the anisotropic diffusion filter is used to preserve the edge information.Then the novel region energy model and the corresponding iterative evolution steps are given to obtain coarse contour.In region growing processing step,the threshold is increased gradually,so the optimal segmentation results are obtained by dynamic optimizing the energy model.Finally in order to achieve accurate segmentation results,the active contour model is exploited to further segment to get accurate boundary.Comparative experimental results show that this algorithm performs better obviously in automatic optimal threshold selection,processing speed and segmentation veracity than conventional region growing algorithm.