Paper
8 September 2011 A new registration method of infrared and visible images based on improved edge extraction and revised measure function
Jing Han, Tao Huang, Yi Zhang, Lian-fa Bai
Author Affiliations +
Abstract
An improved method based on traditional one of matching feature points is presented in order to realize the registration of infrared image and visual image. In the improved method, firstly, image edges are extracted by the improved edge extraction method and Harris operator is selected to detect feature points. The points prepared for matching are gained by the AND operation between feature points and image edges. Thus the feature points not on the edges can be removed to reduce false match rate and computation of matching feature points. Secondly, in the points prepared for matching, two matching point pairs are extracted by the Revised Measure Function(RMF), then used to calculate registration parameters of rigid transformation model for images registration. The method combines the advantages of features and gray-based method, and has high registration accuracy. Experimental results show its feasibility and practicality, and it is applicable to real-time visible and infrared images registration with any zoom scale, rotation angle and translational quantity.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jing Han, Tao Huang, Yi Zhang, and Lian-fa Bai "A new registration method of infrared and visible images based on improved edge extraction and revised measure function", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81931P (8 September 2011); https://doi.org/10.1117/12.900168
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KEYWORDS
Image registration

Infrared imaging

Infrared radiation

Visible radiation

Edge detection

NOx

Image segmentation

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