Target extraction from the military infrared image with complex texture background

Authors:
Tao Gao;Xiaolin Wang;Zhengguang Liu;Shihong Yue
Affiliations:
Shijiazhuang City Transportation Planning Institute, Shijiazhuang, China and Shijiazhuang Urban and Rural Planning Bureau, Shijiazhuang, China;Shijiazhuang Urban and Rural Planning Bureau, Shijiazhuang, China;School of Electrical Engineering and Automation, Tianjin University, Tianjin, China;School of Electrical Engineering and Automation, Tianjin University, Tianjin, China
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

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Abstract

The texture characteristic is one of the important factors of infrared image. For detecting the region of interest, a method of target extraction from the infrared image with complex texture background was presented. First, Mean-shift smoothing algorithm was used to smooth the image pixels, and then an eight directions difference clustering process combined with Mean Shift segmentation was used to extract the region of target. The method is relatively simple making it easy for practical applications. Experimental results show that the method can extract the information of target from infrared images without surveillance and has better adaptability, indicating that it is an effective algorithm for military field with a certain practical value.