Robust CCD and IR Image Registration Using Gradient-Based Statistical Information

Author

Lee, Jae Hak ; Kim, Yong Sun ; Lee, Duhgoon ; Kang, Dong-Goo ; Ra, Jong Beom

Author_Institution

Dept. of Electr. Eng., KAIST, Daejeon, South Korea

Volume

17

Issue

4

fYear

2010

fDate

4/1/2010 12:00:00 AM

Firstpage

347

Lastpage

350

Abstract

This letter presents a robust similarity measure for registering charged-couple device (CCD) and infrared (IR) images. The measure is based on the entropy obtained from a 3-D joint histogram incorporating edginess and modified generalized gradient vector flow (GGVF). To make a reliable mapping relationship between the edge regions of two images, the concept of edginess was adopted so registration performance would be affected mainly by gradient existences rather than their magnitudes. In addition, by adopting the GGVF, we relaxed a narrow capture range problem in conventional gradient-based measures. Experimental results showed that the proposed measure performs more robustly than existing measures.

Keywords

CCD image sensors; edge detection; entropy; gradient methods; image matching; image registration; infrared imaging; 3D joint histogram; IR image registration; charged couple device; edge regions; entropy; gradient based statistical information; infrared image; modified generalized gradient vector flow; robust CCD image registration; robust similarity measure; Edginess; generalized gradient vector flow; image registration; similarity measure;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2010.2040928

Filename

5395680