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A method of infrared/visible image matching based on edge extraction

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2 Author(s)
Zhenbing Zhao ; School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China ; Rui Wang

Infrared/visible image matching is a hot issue and challenge in the state-of-the-art research on image matching. A matching method of infrared/visible image is proposed based on edge extraction by applying a novel detector and descriptor with high performance, coined SURF (Speeded Up Robust Features), in view of the features that there is a large difference, even contrast inversion and consistent contour between infrared and visible image in image details. The method can solve the problem that infrared/visible image matching could not be completed by using SURF directly. It achieves good results with high speed according to the experimental results.

Published in:

Image and Signal Processing (CISP), 2010 3rd International Congress on  (Volume:2 )

Date of Conference:

16-18 Oct. 2010