29 November 2007 Low-contrast small target image enhancement based on rough set theory
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Yong, Bingxue Wang, Wenhua Zhang, Zhenming Peng, "Low-contrast small target image enhancement based on rough set theory", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68332I (29 November 2007); doi: 10.1117/12.756073; https://doi.org/10.1117/12.756073
PROCEEDINGS
6 PAGES


SHARE
Back to Top