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

Author

Zhao, Zhenbing ; Wang, Rui

Author_Institution

Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Baoding, China

Volume

2

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

871

Lastpage

874

Abstract

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.

Keywords

edge detection; feature extraction; image matching; SURF; edge extraction; image descriptor; infrared visible image matching; speeded up robust features; Algorithm design and analysis; Data mining; Detectors; Feature extraction; Image edge detection; Image matching; Robustness; SURF; edge extraction; image matching; infrared/visible;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5646877

Filename

5646877