Infrared small target detection with complex background based on image layer and confidence analysis

Hang Li; Qi Zhang; Yuanyuan Li; Liqiang Wang

doi:10.1117/12.2199845

8 October 2015 Infrared small target detection with complex background based on image layer and confidence analysis

Hang Li, Qi Zhang, Yuanyuan Li, Liqiang Wang

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967526 (2015) https://doi.org/10.1117/12.2199845
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

An image layering and confidence analysis based small target detection method in infrared image is proposed. First, a Huffman tree is used to refine the histogram curve, and the valleys of the refined curve are detected automatically. Then, the grey values of the detected valleys are recorded as the segmenting thresholds to stratify the original infrared image. After detecting small abnormal regions in each layer and defining them to be candidate targets, the candidate target set is composed of the candidate targets in all layers. Finally, the abnormality based confidence of each candidate target is calculated and sorted. The candidate target with maximum confidence is considered as the real one. The experiments show that the proposed method performs robustly and efficiently.

Citation Download Citation

Hang Li, Qi Zhang, Yuanyuan Li, and Liqiang Wang "Infrared small target detection with complex background based on image layer and confidence analysis", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967526 (8 October 2015); https://doi.org/10.1117/12.2199845

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