Graph-based Color-texture Region Segmentation
一种基于图的颜色纹理区域分割方法

Graph cutting is a popular technique for image segmentation. However, it is invalid for images with texture or strong edge. In this paper, we propose a novel segmentation method that graph-based color-texture region segmentation, which overcomes the shortcoming of existing graph-based segmentation method. This method computed feature vector of blocks using color moment, wavelets energy histogram and distance of blocks. Then we segment the image based on a minimal spanning tree. The experimental results show that our method is robust and efficient for image segmentations.