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《Opto-Electronic Engineering》 2007-01
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New method of building 2D histogram for image automatic segmentation

ZHANG Yun-fei1, 2,ZHANG Ye2 ( 1. Department of Mathematics, Harbin Institute of Technology, Harbin 150001, China; 2. Department of Information Engineering, Harbin Institute of Technology, Harbin 150001, China )  
To solve image automatic segmentation problem, two new methods were proposed based on the general steps to set up two-dimensional entropy and the properties of two-dimensional entropy in this paper. In the first method, the two-dimensional histogram was made by using the central pixel’s gray value and maximum gray value of rest four neighbor pixels in the same neighbor, and in the second one, the two-dimensional histogram was made by using the central pixel’s gray value and minimum gray value of rest four neighbor pixels in the same neighbor. By comparing with the traditional method, experimental results of the first method on a lot of classical images that much detailed information about concerned objects in one image can be better preserved, and experimental results of the second one on a lot of classical images show that noise can be suppressed ideally without losing any necessary silhouette information about concerned object.
【Fund】: 国家自然科学基金资助项目(60272073)
【CateGory Index】: TP391.41
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【References】
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【Co-citations】
Chinese Journal Full-text Database 6 Hits
1 ZHANG Yun-fei~(1,2),ZHANG Ye~2(1.College of Science,Harbin Institute of Technology,Harbin 150001,China;2. College of Information Engineering,Harbin Institute of Technology,Harbin 150001,China);Automatic threshold of image segmentation using 2-D entropy[J];Journal of Harbin Engineering University;2006-03
2 Li Guang-ya (North University China School of Information and Communication Engineering Taiyuan 030051);Study on Visualization Based on ICT Slice Images[J];Science & Technology Information;2007-36
3 SHI Yue-zhen1,XIN Dong-jun21.School of Water Conservancy,Changsha University of Technology & Science,Changsha 410076,China 2.Computer Science College,Central South University of Forestry Technology,Changsha 410004,China;Design and realization of wetland remote sensing image segmentation method[J];Computer Engineering and Applications;2009-25
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5 ZHOU Xian-cheng1,2,SHEN Qun-tai2,WANG Jun-nian2,SHI Biao1 1(Department of Compute and Electronic Engineering,Hunan Business College,Changsha 410205,China) 2(School of Information Science and Engineering,Central South University,Changsha 410083,China);Application of Particle Swarm Optimization in 2D Fuzzy Entropy Image Segmentation[J];Journal of Chinese Computer Systems;2008-05
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