Matching method applying neural network

Ming Jiang; Guilin Zhang; Qijie Chen

doi:10.1117/12.441526

20 September 2001 Matching method applying neural network

Ming Jiang, Guilin Zhang, Qijie Chen

Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441526
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Ming Jiang, Guilin Zhang, and Qijie Chen "Matching method applying neural network", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441526

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