The small infrared target detection in complicated background based on adaptive morphological filter

Zhe Li; Xiuqin Su; Wei Hao

doi:10.1117/12.828933

30 October 2009 The small infrared target detection in complicated background based on adaptive morphological filter

Zhe Li, Xiuqin Su, Wei Hao

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74950I (2009) https://doi.org/10.1117/12.828933
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The detection of small infrared target has always been a crucial but difficult issue in infrared target detection. An effective method using adaptive Top-Hat operator in morphology is proposed to detect small infrared target in complicated background. Firstly, adaptive Top-Hat operator is employed to suppress large areas of interference in complicated background. However, the gray of target is attenuated in the image after Top-Hat operation, which is disadvantageous to segment target area. Therefore, on the condition that small infrared target is not easy to be detected accurately, the image processed by morphological filtering is transformed by nonlinear gray stretching in order to increase the gray of small target. The result of transformation proves that this method not only enhances the gray of small target but also restrains the interference. In this way, target region can be segmented effectively. The effectiveness and accuracy of this detecting method is verified by the results of experiments conducted by the author.

Citation Download Citation

Zhe Li, Xiuqin Su, and Wei Hao "The small infrared target detection in complicated background based on adaptive morphological filter", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950I (30 October 2009); https://doi.org/10.1117/12.828933

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