In this paper, we present a novel method for infrared dim targets detection based on local binary pattern(LBP). The modified LBP operator is proposed, by which the extracted LBP values can effectively characterize the intensity distribution of the infrared dim targets. Hence, the reasonable representation model of infrared dim target is built and the good performance of detecting dim targets without background suppressing can be achieved. Combined modified LBP with the intensity feature characteristic of dim target, the fast graylevel adaptive scan strategy is developed to speedup the detection process and restrain the false positive. The experiments result on actual infrared image sequences show that the presented method is feasible and effective.
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赵春光,孙宁,郑坚,王寿峰.基于局部二元模式算子的红外弱小目标检测[J].激光与红外,2007,37(12):1315~1318 ZHAO Chun-guang, SUN Ning, ZHENG Jian, WANG Shou-feng. Infrared Dim Targets Detection Based on Local Binary Pattern[J]. LASER & INFRARED,2007,37(12):1315~1318