5 August 2009 Watershed segmentation of infrared target based on multiscale mathematical morphology and target enhancement
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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.
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Xiang-zhi Bai, Xiang-zhi Bai, Fu-gen Zhou, Fu-gen Zhou, Ting Jin, Ting Jin, Zhao-ying Liu, Zhao-ying Liu, } "Watershed segmentation of infrared target based on multiscale mathematical morphology and target enhancement", 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; https://doi.org/10.1117/12.835007

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