Interactive segmentation method with SVM and region growing
一种SVM与区域生长相结合的图像分割方法

The SVM segmentation method, as a kind of global thresholding, cannot segment the image finely. The results need to be post-processed by other segmentation approaches. In this paper, a new interactive segmentation method was proposed, which integrated the SVM and region growing. The proposed method can remove the regions of non-interest that have similar characteristics to regions of interest. Furthermore, it can combine the two procedures into one: the procedure of selecting samples for training SVM and the procedure of selecting seeds for region growing. As a result, the method improves the quality of segmentation and the performance of auto-segmentation.