Image Registration Based on Fitted Straight Lines of Edges

Author

Tang, Jinhui ; Yang, Xin ; Liu, Chunyan ; Wu, Xiuqing

Author_Institution

Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9782

Lastpage

9785

Abstract

Rotation problem is a difficulty in common image registration methods for computational complexity. Aiming at this, a novel method based on fitted straight lines of edges is proposed. It first estimates the rotating angle by angle difference histogram of fitted straight lines, and then estimates the translation by Hausdorff distance. After compensating the rotation and translation, mutual information based on Renyi entropy is used to find the accurate registration result in a small domain. Experiment results demonstrate that this method is effective in solving rotation problem

Keywords

edge detection; entropy; genetic algorithms; image registration; Hausdorff distance; Renyi entropy; angle difference histogram; computational complexity; edge line fitting; fitted straight lines; genetic algorithm; image edges; image registration; rotation compensation; translation compensation; Computational complexity; Entropy; Histograms; Image edge detection; Image registration; Image resolution; Information science; Layout; Mutual information; Noise robustness; Hausdorff distance; angle difference histogram; edge lines fitting; registration;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713905

Filename

1713905