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Small Target Detection Using Bilateral Filter Based on Edge Component  

Bae, Tae-Wuk (경북대학교 전자전기컴퓨터공학부 오디오비디오 신호처리 및 자동차 전자공학)
Kim, Byoung-Ik (경북대학교 전자전기컴퓨터공학부 오디오비디오 신호처리 및 자동차 전자공학)
Lee, Sung-Hak (경북대학교 전자전기컴퓨터공학부 오디오비디오 신호처리 및 자동차 전자공학)
Kim, Young-Choon (영동대학교 정보통신사이버경찰학과)
Ahn, Sang-Ho (인제대학교 전자지능로봇공학과)
Sohng, Kyu-Ik (경북대학교 전자전기컴퓨터공학부 오디오비디오 신호처리 및 자동차 전자공학)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.9C, 2009 , pp. 863-870 More about this Journal
Abstract
Bilateral filter (BF) is a nonlinear filter for sharpness enhancement and noise removal. The BF performs the function by the two Gaussian filters, the domain filter and the range filter. To apply the BF to infrared (IR) small target detection, the standard deviation of the two Gaussian filters need to be changed adaptively between the background region and the target region. This paper presents a new BF with the adaptive standard deviation based on the analysis of the edge component of the local window, also having the variable filter size. This enables the BF to perform better and become more suitable in the field of small target detection Experimental results demonstrate that the proposed method is robust and efficient than the conventional methods.
Keywords
Target Detection; Infrared; Gaussian filter; Bilateral Filter; Edge Component;
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