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Published in:
2011 | OriginalPaper | Chapter
The Size and Position Detection of the Small Target in Infrared Image
Authors : Gyoon-Jung Lee, Ji-Hwan Park, Jae-Heum Joo, Ki-Gon Nam
Published in: Convergence and Hybrid Information Technology
Publisher: Springer Berlin Heidelberg
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In this paper, we present a technique used to detect the location and size of small targets in a multi-resolution image using a cubic facet model. The input image is divided into multi-resolution images. We apply the facet model and the local maxima conditions to each level of the multi-resolution images. We then detect the location of the small target. We derive the location for the maximum of the
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, i.e. the local maxima value of the facet model, and use this for the location of the small target. We can detect small targets of various sizes in each level of the multi-resolution images. In this paper, we experimented using various infrared images possessing a small target. The conventional facet model method applies a mask. However, the proposed method applies a mask to the multi-resolution images. We verified our method by varying the mask size and altering the size of the small target. We found that our proposed algorithm can detect the location and size of the small target.