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Proceedings Paper

Watershed segmentation of infrared target based on multiscale mathematical morphology and target enhancement
Author(s): Xiang-zhi Bai; Fu-gen Zhou; Ting Jin; Zhao-ying Liu
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Paper Abstract

A new infrared target segmentation algorithm by using watershed transform based on multi-scale mathematical morphology and target enhancement is proposed in this paper. Firstly, the multi-scale mathematical morphological operator is used to pre-process the original infrared image, which suppresses the effect of noises and protects targets. Secondly, the property of the infrared image, non-parameter kernel method and linear extension are used to enhance dim target. Thirdly, some pixels of the enhanced target regions are binarized and then processed by morphological operators as the markers of the infrared targets. Finally, after the gradient of the pre-processed infrared image is calculated by using Sobel detector, the watershed is performed on the gradient image guided by the markers of target regions to segment the target regions. The proposed method can be widely used in different applications of target detection, target tracking, navigation system and so on. Experimental results verify that the proposed method is efficient.

Paper Details

Date Published: 5 August 2009
PDF: 6 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73832H (5 August 2009); doi: 10.1117/12.835007
Show Author Affiliations
Xiang-zhi Bai, Beijing Univ. of Aeronautics and Astronautics (China)
Fu-gen Zhou, Beijing Univ. of Aeronautics and Astronautics (China)
Ting Jin, Beijing Univ. of Aeronautics and Astronautics (China)
Zhao-ying Liu, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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