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《Journal of Chongqing University of Technology(Natural Science)》 2015-01
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Small Infrared Forest Fire Target Detection Based on Neighborhood Contrast

ZHANG Hong-min;TAN Shi-lei;School of Electronic Information and Automation,Chongqing University of Technology;  
In order to accurately detect the small infrared target at the forest complex background,an algorithm for target extraction was proposed based on neighborhood contrast. First of all,according to the difference between small target area and its 8-neighborhood background,the small target enhancement and the background suppression were obtained by using of the neighborhood contrast algorithm.Secondly,a multi-scale template was employed to accurately detect the small target in the gray varied area. Finally,based on final comparison result,we adopt an adaptive threshold for the target segment.Experiments proved that the proposed algorithm has more accuracy than the existing algorithms in small infrared target detection,and the whole image SNR has been greatly improved simultaneously.
【Fund】: 重庆市科委应用开发重点项目(cstc2013yykf B90001)
【CateGory Index】: TP391.41
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