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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A Small Infrared Target Detection Method Based on Coarse-to-Fine Segmentation and Confidence Analysis
verfasst von : Hang Li, Ze Wang, Tian Tian, Hui Huang
Erschienen in: Advances in Image and Graphics Technologies
Verlag: Springer Berlin Heidelberg
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In this paper, a small target detection algorithm in infrared image is proposed. First, an infrared image is coarse-to-fine segmented automatically by self-adaptive histogram segmentation. After detecting small abnormal region in segmented image and defining them to candidate targets, the abnormality based confidence of each candidate target is calculated and sorted. Finally, the candidate target with the maximum confidence is weighed to be real one. The experiments demonstrate that the proposed method is efficient and robust.