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Proceedings Paper

A new registration method of infrared and visible images based on improved edge extraction and revised measure function
Author(s): Jing Han; Tao Huang; Yi Zhang; Lian-fa Bai
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Paper 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.

Paper Details

Date Published: 8 September 2011
PDF: 7 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81931P (8 September 2011); doi: 10.1117/12.900168
Show Author Affiliations
Jing Han, Nanjing Univ. of Science and Technology (China)
Tao Huang, Nanjing Univ. of Science and Technology (China)
Yi Zhang, Nanjing Univ. of Science and Technology (China)
Lian-fa Bai, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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