Remote Sensing Image Segmentation Approach Based on Quarter-tree and Graph Cut
Jie Kong · Jisuanji gongcheng · 2010
Aiming at the problem of poor real-time ability of graph cut,this paper suggests a remote sensing image segmentation approach based on quarter-tree and graph cut.The approach uses quarter-tree to segment the remote sensing image into a large number of small partitions,with the adjacency of each partition,smaller and similar partitions are merged into some areas.By integrating gray feature and spatial location of each partition,normalized cutting approach is used to segment the image among partition from global view,by which the final segmented image can be generated.Experimental results show that the over-segmentation can be eliminated effectively.