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http://dx.doi.org/10.5391/JKIIS.2009.19.3.304

Target extraction in FLIR image using Bi-modality of local characteristic and Chamfer distance  

Lee, Hee-Yul (경북대학교 전자공학과)
Kim, Se-Yun (경북대학교 전자공학과)
Kim, Jong-Hwan (경북대학교 전자공학과)
Kwak, Dong-Min (국방과학연구소)
Choi, Byung-Jae (대구대학교 전자공학부)
Joo, Young-Bok (경북대학교 전자공학과)
Park, Kil-Houm (경북대학교 전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.19, no.3, 2009 , pp. 304-310 More about this Journal
Abstract
In this paper, target extraction method in FLIR(forward-looking infrared) images based on fuzzy thresholding which used bi-modality and adjacency to determine membership value is proposed. The bi-modality represents how a pixel is classified into a part of target using distribution of pixel values in a local region, and The adjacency is a measure to represent how each pixel is far from the target region. First, membership value is calculated using above two measures, and then fuzzy thresholding is performed to extract the target. To evaluate performance of proposed target extraction method, we compare other segmentation methods using various FLIR tank image. Experimental results show that the proposed algorithm is a good segmentation performance.
Keywords
FLIR image; fuzzy thresholding; bi-modality; adjacency; membership value;
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