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《Laser & Infrared》 2011-03
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Automatic segmentation method of infrared images based on C-V model

LI Zhi-guo1,HAO Xin-ran2(1.CETC Infrared Engineering and Technology Co.,Ltd.,Beijing 100015,China;2.School of Electronics Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)  
To overcome the influence of image noise and edge contour in infrared image segmentation,we introduce the C-V model based on techniques of curve evolution,M-S function for segmentation and level sets method in this paper.We establish an energy model by assuming the image consists of two regions of approximatively piecewise-constant intensities under the level sets framework.By minimizing the energy model to find a global minimum in the whole image region,the active contour has been to evolve to the object boundaries.The emulation results established with MATLAB show that automatic segmentation of infrared images based on C-V model is irrespective of edge continuous information,less sensitive to the location of initial contours and is robust in image segmentation with noise.Good effect has been achieved on image segmentation with statistically homogeneous regions.
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 CHEN Bo1,DAI Qiu-Ping21(College of Mathematics and Computational Science,Shenzhen University,Shenzhen 518060)2(Institute of Hydroelectric Power,Hebei University of Engineering,Handan 056021);Image Segmentation Based on Geometric Active Contour Model[J];Pattern Recognition and Artificial Intelligence;2010-02
【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
1 LI Jun YANG Xin SHI Peng-Fei(Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030);A Fast Level Set Approach to Image Segmentation Based on Mumford-Shah Model[J];Chinese Journal of Computers;2002-11
2 CHEN Bo1),3),LAI Jian-huang2),3),MA Jian-hua4)1)(School of Mathematics and Computational Science,Sun Yat-Sen University,Guangzhou 510275)2)(School of Information Science and Technology,Sun Yat-Sen University,Guangzhou 510275)3)(Guangdong Province Key Laboratory of Information Security,Guangzhou 510275)4)(Department of Biomedical Engineering,First Military Medical University,Guangzhou 510515);A Coupled Active Contour Model and Its Application in Image Segmentation[J];Journal of Image and Graphics;2007-03
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