Paper
18 November 2014 Visible and infrared image registration algorithm based on NSCT and gradient mirroring
Qingqing Huang, Qiong Gao, Jian Yang, Jiansheng Chen, Zhanjie Song
Author Affiliations +
Abstract
Multi-sensor image registration is an important part of the remote sensing image processing. The gray property of the same object would have large differences in infrared and visible imaging mode, so it could get less matching points by using traditional SIFT algorithm directly in registration. However, NSCT decomposition can represent the structural information of the image very well and extract more SIFT feature points in its high frequency decomposed image. In addition, traditional SIFT descriptors’ gradient is affected by gray contrast, which could get less feature matching points during the similarity search in the matching procedure. Gradient mirroring (GM) is a method that can modify the direction of the feature points, which can reduce the contrast impact on the similarity matching. Therefore, a novel method combining NSCT and GM is proposed in this article. The experiments prove that, comparing with the traditional SIFT algorithm, the new method can get more matching points, better distributing and higher matching rate in infrared and visible image registration.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qingqing Huang, Qiong Gao, Jian Yang, Jiansheng Chen, and Zhanjie Song "Visible and infrared image registration algorithm based on NSCT and gradient mirroring", Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 926323 (18 November 2014); https://doi.org/10.1117/12.2068931
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image registration

Infrared imaging

Infrared radiation

Visible radiation

Image processing

Remote sensing

Infrared sensors

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