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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 785072, 8 pages
Research Article

Target Image Matching Algorithm Based on Binocular CCD Ranging

1School of Information Technology, Jilin Agriculture University, Changchun 130118, China
2Informatization Center, Changchun University of Science and Technology, Changchun 130022, China
3School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
4College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China

Received 18 April 2014; Accepted 28 June 2014; Published 16 July 2014

Academic Editor: Fuding Xie

Copyright © 2014 Dongming Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper proposed target image in a subpixel level matching algorithm for binocular CCD ranging, which is based on the principle of binocular CCD ranging. In the paper, firstly, we introduced the ranging principle of the binocular ranging system and deduced a binocular parallax formula. Secondly, we deduced the algorithm which was named improved cross-correlation matching algorithm and cubic surface fitting algorithm for target images matched, and it could achieve a subpixel level matching for binocular CCD ranging images. Lastly, through experiment we have analyzed and verified the actual CCD ranging images, then analyzed the errors of the experimental results and corrected the formula of calculating system errors. Experimental results showed that the actual measurement accuracy of a target within 3 km was higher than 0.52%, which meet the accuracy requirements of the high precision binocular ranging.