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Optical Engineering

Extracting targets from regions-of-interest in infrared images using a 2-D histogram
Author(s): Chan Woo Park; Jong Min Lee; Yong Min Kim; Young Shik Moon; Yong Kim; Taek Lyul Song; Ki Tae Park
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Paper Abstract

We propose an effective method of extracting targets from a region-of-interest (ROI) in infrared images by using a 2-D histogram, considering intensity values and distance values from a center of the ROI. Existing approaches for extracting targets have utilized only intensity values of pixels or an analysis of a 1-D histogram of intensity values. Because the 1-D histogram has mixed bins containing false-negative bins from the target region as well as false-positive bins from the background region, it is difficult to extract target regions effectively due to the mixed bins. In order to solve the problem of the mixed bins, we propose a novel 2-D histogram-based approach for extracting targets. Experimental results have shown that the proposed method achieves better performance of extracting targets than existing methods under various environments, such as target regions with irregular intensities, dim targets, and cluttered backgrounds.

Paper Details

Date Published: 1 February 2011
PDF: 5 pages
Opt. Eng. 50(2) 027003 doi: 10.1117/1.3536471
Published in: Optical Engineering Volume 50, Issue 2
Show Author Affiliations
Chan Woo Park, Hanyang Univ. (Korea, Republic of)
Jong Min Lee, Hanyang Univ. (Korea, Republic of)
Yong Min Kim, Hanyang Univ. (Korea, Republic of)
Young Shik Moon, Hanyang Univ. (Korea, Republic of)
Yong Kim, Hanyang Univ. (Korea, Republic of)
Taek Lyul Song, Hanyang Univ. (Korea, Republic of)
Ki Tae Park, Hanyang Univ. (Korea, Republic of)

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