Contour extraction method based on improved level set and self-adaptive region growing
基于改进水平集和区域生长的轮廓提取方法

This paper proposed a new level set based on target gray differences to research the human brain hippocampal slice sequences. It solved the boundary staying at the background's extreme gradient in traditional methods. In order to avoid the blindness in region growing, it put forward the processed image's standard deviation as the threshold. Then it received the hippocampus's contour. By theoretical analysis and experiment verification, this method can remove non-target parts from target efficiently, and a better segmentation result is obtained.