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《Laser & Infrared》 2011-03
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Infrared warship target detection based on SUSAN algorithm and segmentation algorithm using the mean of image rows and columns

YAN Fa-bao1,ZOU Chang-wen2,WANG Lu1,LE Jing1,CHEN Wei1,DONG Hai2(1.Southwest Institute of Automation,Mianyang 621000,China;2.Southwest Institute of Technical Physics,Chengdu 610041,China)  
In this paper,a method for detecting infrared warship target in the complex background of sea-sky based on SUSAN detection and segmentation algorithm using the mean of image rows and columns.First,a simple model of warship contour was built.And the ROI can be decided subsequently,combine with SUSAN detection.Besides,the model of warship contour can control the size of the ROI in a way.Then,an improved segmentation algorithm based on the mean of image rows and columns was proposed.After the image segmentation,ship target was extracted.The experimental results show that the proposed algorithm is successful and can extract the infrared warship target.
【Fund】: 预研项目资助
【CateGory Index】: TP274.52
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