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Proceedings Paper

Matching method applying neural network
Author(s): Ming Jiang; Guilin Zhang; Qijie Chen
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Paper Abstract

This paper addressed the problem of image matching with two images, an object image and a novel deformed image. Generally two images have differences of rotation, translation, scaling, noise disturbance, or occlusion. A common task is to develop matching algorithms insensitive to image distortions. Here we inherited and extended the spirit of eigenspace approach, applying a 3-layer BP neural network to find the mage pattern which is also obtained from the same scene of the object image pattern. To testify the feasibility and robustness of our algorithm, images obtained from real scenes by satellites were used in our experiments. Experiments have shown that the framework could produce feasible results.

Paper Details

Date Published: 20 September 2001
PDF: 6 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441526
Show Author Affiliations
Ming Jiang, Huazhong Univ. of Science and Technology (China)
Guilin Zhang, Huazhong Univ. of Science and Technology (China)
Qijie Chen, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis
Bir Bhanu; Jun Shen; Tianxu Zhang, Editor(s)

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