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Proceedings Paper

Infrared small target detection with complex background based on image layer and confidence analysis
Author(s): Hang Li; Qi Zhang; Yuanyuan Li; Liqiang Wang
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Paper 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.

Paper Details

Date Published: 8 October 2015
PDF: 6 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967526 (8 October 2015); doi: 10.1117/12.2199845
Show Author Affiliations
Hang Li, China Academy of Launch Vehicle Technology (China)
Qi Zhang, China Academy of Launch Vehicle Technology (China)
Yuanyuan Li, China Academy of Launch Vehicle Technology (China)
Liqiang Wang, China Academy of Launch Vehicle Technology (China)

Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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