ITM Web Conf.
Volume 11, 20172017 International Conference on Information Science and Technology (IST 2017)
|Number of page(s)||9|
|Section||Session V: Intelligent Sensing Technology|
|Published online||23 May 2017|
Research on Multi-sensor Image Matching Algorithm Based on Improved Line Segments Feature
Dalian University of Technology School of Information and Communication Engineering, 116024 Dalian, China
a Corresponding author: firstname.lastname@example.org
In this paper, an improved multi-sensor image matching algorithm based on line segments feature is proposed. Firstly, the line segments in the image are extracted and optimized. And the virtual feature points are constructed by the line segments. Then a set of affine transformation matrices of two images is obtained by different combinations of virtual feature points. And then the matching function is constructed, by which the relationship of affine transform between the two images are preliminarily determined. And the matching point set is obtained. Finally, false matching points are eliminated based on RANSAC algorithm and the final transformation matrix to accomplish accurate matching is achieved. The experimental results show that the matching accuracy of this proposed algorithm can reach up to 80%. At the same time, the speed of the algorithm is significantly improved.
© 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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