Paper
30 October 2009 A research on multisensor image registration based on edge matching and point matching
Xiaojing Wang, Gaosheng Xu, Tiejun Wang, Hansong Li
Author Affiliations +
Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749536 (2009) https://doi.org/10.1117/12.832975
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Multisensor images registration is the necessary premise for multisensor image fusion in military field. The goal of image registration is to establish the geometrical correspondence among images which are acquired by different sensors or by the same sensor but in different modalities. In this paper, a research on multisensor image registration is done and two methods are presented. One method is based on edge matching, the other is based on point matching. Experimental results with various kinds of image have verified the robustness of the two methods. It is showed that point-based method works well for image pairs with large scale and rotation transformation while the gray level characteristics is well preserved, such as same sensor images but different times. Edge-based method works well for image pairs with small scale and rotation transformation while edge characteristics can be well preserved, such as multisensor or multispectral images. Both methods are automatic and computationally quite efficient. Root mean square error at the control points are given and outperformed by manual registration.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaojing Wang, Gaosheng Xu, Tiejun Wang, and Hansong Li "A research on multisensor image registration based on edge matching and point matching", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749536 (30 October 2009); https://doi.org/10.1117/12.832975
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KEYWORDS
Image registration

Image sensors

Sensors

Image fusion

Infrared imaging

Infrared radiation

Image segmentation

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