Image matching based on ant colony algorithm

Authors:
Hong-yan Shi;Zhao-yu Bei
Affiliations:
School of Information Science & Engineering, Shenyang University of Technology, China;School of Information Science & Engineering, Shenyang University of Technology, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 2
Cited 0

3D Surface Matching and Recognition Using Conformal Geometry

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
An Efficient Feature Based Matching Algorithm for Stereo Images

GMAI '06 Proceedings of the conference on Geometric Modeling and Imaging: New Trends

Quantified Score

Hi-index	0.00

Visualization

Abstract

Ant colony algorithm(ACA) is a kind of discrete, parallel and robust evolutionary algorithm with fuzzy clustering ability. ACA has been introduced into image matching from the aspect of fuzzy clustering. The gray value, gratitude and neighbourhood of pixels are considered synthetically. This method is shown as a new algorithm by the test on computer.