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.