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26 October 2013 A saliency-based approach to detection of infrared target
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Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180S (2013)
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Automatic target detection in infrared images is a hot research field of national defense technology. We propose a new saliency-based infrared target detection model in this paper, which is based on the fact that human focus of attention is directed towards the relevant target to interpret the most promising information. For a given image, the convolution of the image log amplitude spectrum with a low-pass Gaussian kernel of an appropriate scale is equivalent to an image saliency detector in the frequency domain. At the same time, orientation and shape features extracted are combined into a saliency map in the spatial domain. Our proposed model decides salient targets based on a final saliency map, which is generated by integration of the saliency maps in the frequency and spatial domain. At last, the size of each salient target is obtained by maximizing entropy of the final saliency map. Experimental results show that the proposed model can highlight both small and large salient regions in infrared image, as well as inhibit repeated distractors in cluttered image. In addition, its detecting efficiency has improved significantly.
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Yanfei Chen, Nong Sang, and Zhiping Dan "A saliency-based approach to detection of infrared target", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180S (26 October 2013);

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