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《Laser & Infrared》 2016-01
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Infrared image segmentation method based on fuzzy threshold and level set

SHI Xiao-dan;MA Guo-rui;CHEN Wang-li;YANG Guo-peng;QIN Qian-qing;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University;Air Force Institute;  
As it is likely to generate redundant contours by fuzzy-threshold-based infrared image segmentation method and it is sensitive to initial contour by level set segmentation method,an adaptive segmentation method of infrared image based on fuzzy threshold and level set is presented. Firstly,this algorithm introduces 2-D Otsu to calculate a threshold,and then the window width of fuzzy threshold is obtained based on the threshold from 2-D Otsu.Then,the adaptive fuzzy threshold is adopted to pre-segment infrared images,and the initial contour of level set is obtained depending on the pre-segmentation result. Finally,an improved level set method by combing Chan-Vese method and Shi method is proposed,and the improved level set method is adopted to segment infrared images. The results of experiments prove that this algorithm has better segmentation effect and robustness.
【Fund】: 国家863计划资助项目(No.2013AA122301);; 国家自然科学基金项目(No.41471354);; 高分辨率对地观测系统应用系统建设项目资助
【CateGory Index】: TP391.41
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