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《Science of Surveying and Mapping》 2012-06
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Images segmentation by integrating two approaches of improved Mean Shift and region merging

ZHOU Jia-xiang,ZHU Jian-jun,ZHAO Qun-he(Department of Surveying and Geo-informatics,Central South University,Changsha 410083,China)  
Bandwidth is a key parameter in Mean Shift based image segmentation.Bandwidths include spatial bandwidths and range bandwidths.Spatial bandwidths are picked according to remote sensing image's spatial resolution.Gray range bandwidths are calculated by Minimizing Asymptotic Mean Integrated Squared Error(AMISE).Segmented regions is merged by using regions areas weighed similarity rule and region entropy based region merge cease rules to solve over-segmentation of MS algorithm.MATLAB software experiment results of three images showed that this method has better segmentation results than EDISON software,and in some extent could improve remote sensing image auto-segmentation level.
【Fund】: 国家高技术研究发展计划(863计划)重点项目(2009AA122004);; 国家自然科学基金青年科学基金项目(40901171)
【CateGory Index】: TP391.41
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