A Hierarchical Method of Image Segmentation with Topological Adaptability
一种具有拓扑自适应性的图象两步分割方法

This paper proposes a hierarchical method of image segmentation with topological adaptability, called B spline active contour based on edge detector. Unlike traditional method of active contour, our method takes region homogenous property into account and designs a new external force regional force, which is very robust to noise contamination. Also, internal force is integrated into the B spline. Our method is composed of two steps. First step is a kind of low level image segmentation. In this step, a local edge detector is used for detecting all edge points of the image. Second step is a kind of high level image segmentation. In this step, our B spline active contour based on the global image statistic is used for refining the region boundary. Also, we propose a new topology adaptability method, which is based on the change of region Euler number. Our method requires less interactive operation and is insensitive to initial condition. The experiments reported in the paper, performed on real images, confirm that the method can offer a good segmentation result and it has a very good topological adaptability.