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Proceedings Paper

Development of a demeaning filter for small object detection in infrared images
Author(s): Hwal-Suk Lee; Seokkwon Kim; Je Hee Lee; Won-Chul Choi; Dong-Jo Park; Chang-Kyun Noh; NamHun Kang
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Paper Abstract

The demeaning filter detects a small object by removing a background with a mean filter as well as the covariance of an object and backgrounds. The factors considered in the design of the demeaning filter are the method of demeaning, which involves subtracting the local mean value from all pixel values, and the acquisition of templates for both the object and the background. This study compares the sliding window method and the grid method as a demeaning method, and studies the method of acquisition of an object template. Moreover, a method involving the use of previous frames, a mean filter, and an opening operation are studied in an effort to acquire a background template. Based on the results of this study, a practical design of a demeaning filter that is able to detect a small object in an IR image in real time is proposed. Experiment results demonstrate the superiority of the proposed design in detecting a small object following a 2-D Gaussian distribution even under severe zero-mean Gaussian noise.

Paper Details

Date Published: 4 May 2009
PDF: 12 pages
Proc. SPIE 7335, Automatic Target Recognition XIX, 733513 (4 May 2009); doi: 10.1117/12.819077
Show Author Affiliations
Hwal-Suk Lee, Korea Advanced Institute of Science and Technology (Korea, Republic of)
Seokkwon Kim, Korea Advanced Institute of Science and Technology (Korea, Republic of)
Je Hee Lee, Korea Advanced Institute of Science and Technology (Korea, Republic of)
Won-Chul Choi, Korea Advanced Institute of Science and Technology (Korea, Republic of)
Dong-Jo Park, Korea Advanced Institute of Science and Technology (Korea, Republic of)
Chang-Kyun Noh, Agency for Defense Development (Korea, Republic of)
NamHun Kang, Samsung Thales Co. Ltd. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7335:
Automatic Target Recognition XIX
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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