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Proceedings Paper

Low-contrast small target image enhancement based on rough set theory
Author(s): Yang Yong; Bingxue Wang; Wenhua Zhang; Zhenming Peng
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Paper Abstract

Contrast enhancement is important for small target detection and tracking. Conventional contrast enhancement techniques often fail to produce satisfactory results for images expressing unimodal intensity histograms. This paper presents a new contrast enhancement method based on rough set theory which is especially suitable for such images. The method uses the max of between-class mean to partition the image into two sub-images, the denoised target region and the denoised background region. Then the target region is enhanced by extend histogram. Experimental results indicate the new enhancement method is more suitable than traditional methods for handling the enhancement problems of low contrast small target images.

Paper Details

Date Published: 29 November 2007
PDF: 6 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68332I (29 November 2007); doi: 10.1117/12.756073
Show Author Affiliations
Yang Yong, Univ. of Electronic Science and Technology of China (China)
Bingxue Wang, Chongqing Military Deputy Bureau (China)
Wenhua Zhang, Chongqing Military Deputy Bureau (China)
Zhenming Peng, Univ. of Electronic Science and Technology of China (China)

Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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