A robust infrared dim target detection method based on template filtering and saliency extraction |
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| Institution: | 1. School of Information Engineering, Chang''an University, Xi''An 710064, China;2. College of Engineering and Computer Science, Australian National University, Canberra 2601, Australia;3. School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2006, Australia;1. College of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China;2. Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China;3. School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China;4. Key Research Center for Surface Monitoring and Analysis of Cultural Relics, State Administration of Cultural Heritage, Tianjin 300350, China;1. Ministry of Education Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai 200237, China;2. School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, Scotland, United Kingdom |
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| Abstract: | Dim target detection in infrared image with complex background and low signal-clutter ratio (SCR) is a significant and difficult task in the infrared target tracking system. A robust infrared dim target detection method based on template filtering and saliency extraction is proposed in this paper. The weighted gray map is obtained from the infrared image to highlight the target which is brighter than its neighbors and has weak correlation with its background. The target saliency map is then calculated by phase spectrum of Fourier Transform, so that the dim target detection could be converted to salient region extraction. The potential targets are finally extracted by combining the two maps. Moreover, position discrimination between targets in the two maps is used to exclude the false alarms and extract the targets. Experimental results on measured images indicate that our method is feasible, adaptable and robust in different backgrounds. The ROC (Receiver Operating Characteristic) curves obtained from the simulated images demonstrate the proposed method outperforms some existing typical methods in both detection rate and false alarm rate, for target detection with low SCR. |
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| Keywords: | Infrared dim target detection Template filtering Salient region extraction Position discrimination |
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