Image matching based on multifeatures fusion

peng zhen ming; zhang qi heng; wei yu xing; zhang qin ping

Volume 16 Issue 03

Mar. 2004

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Article Navigation > High Power Laser and Particle Beams > 2004 > 16(03): 0-

peng zhen ming, zhang qi heng, wei yu xing, et al. Image matching based on multifeatures fusion[J]. High Power Laser and Particle Beams, 2004, 16.

Citation:

peng zhen ming, zhang qi heng, wei yu xing, et al. Image matching based on multifeatures fusion[J]. High Power Laser and Particle Beams, 2004, 16.

peng zhen ming, zhang qi heng, wei yu xing, et al. Image matching based on multifeatures fusion[J]. High Power Laser and Particle Beams, 2004, 16.

Citation:

peng zhen ming, zhang qi heng, wei yu xing, et al. Image matching based on multifeatures fusion[J]. High Power Laser and Particle Beams, 2004, 16.

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Image matching based on multifeatures fusion

1.
School of Opto Electronic Information,University of Electronic Science and Technology of China,Chengdu 610054,China;
2.
Institute of Optics and Electronics,the Chinese Academy of Sciences,P.O.Box 350,Chengdu 610209,China;

Publish Date: 2004-03-15

Abstract

Abstract

The conventional methods of image matching are based on gray and shape of image. These two features can't describe image data well especially in tracking the faint and small targets. It's difficult to track the target with highprecision and steady. In this paper, a new algorithm of image matching was proposed. It extracts characters including gray and shape from image data and gains an integrated character using the information fusion algorithm with simplicity and effect. Then calculates the position coordinate of target using integrated characteristics by correlation degree. Simulation shows that the method is feasible and effective.
- image processing,
- multifeatures fusion,
- kl transform,
- image matching,
- faint target detection

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