| Issue |
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 9 | |
| Section | Session II: Computer Vision and Image Processing | |
| DOI | https://doi.org/10.1051/itmconf/20171102002 | |
| Published online | 23 May 2017 | |
Research on Infrared and Visible Images Registration Algorithm Based on Graph
Dalian University of Technology, School of Information and Communication Engineering, Dalian, China
a Corresponding author: zxlcheer@163.com
In this paper, we proposed a registration algorithm based on the combination of pyramid hierarchical idea and graph theory. It can solve the challenging problem of extracting consistent characteristics and matching the infrared and visible images. First, extracting the maximally stable extremal regions (MSERs) in the determining maximum down-sampling images and each MSER is represented by a polygon. Then constructing the gragh features and the mapping relationship of MSERs between the infrared and visible images are determined by the graph matching method. Next we can construct the initial point set for matching according to the mapping relationship. Finally, using the random sample consensus (RANSAC) algorithm to obtain the optimal parameters and determine the error evaluation parameters. According to the idea of pyramid stratification, the above process is repeated in the high resolution images under the constraint condition of current matching error. The experiment results show that the algorithm can make full use of the visual similarity structures between images, and can achieve a smaller matching error under the premise of ensuring the robustness of the matching.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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