Design and realization of image matching based on GMPT algorithm

Author

Hong-yan Shi ; Li-hong Zhao ; Xiao-ming Su ; Zhai-li Dong ; Ke Qin

Author_Institution

Inst. of Sci., Shenyang Univ. of Technol., Shenyang

fYear

2008

fDate

2-4 July 2008

Firstpage

253

Lastpage

257

Abstract

Conventional image matching method is a correlation matching method of ergodic region, and much time should be wasted on non-optimal matching points. It is not only waste matching and calculation time but also lead to get non- matching points. Based on Multiresolution Pagoda Structure Algorithm (MPSA) and the genetic algorithm and projection algorithm, a new image matching method (GMPT) is presented. The algorithm can realize fast image matching on big template and the higher precision of matching. A contrast experiment is conducted and the result demonstrates that the algorithm can reduce the matching time sharply. So the algorithm has been applied to the image matching system.

Keywords

correlation methods; genetic algorithms; image matching; image resolution; correlation image matching method; ergodic region; genetic algorithm; multiresolution Pagoda structure algorithm; non optimal matching point; projection algorithm; Algorithm design and analysis; Design automation; Educational institutions; Genetic algorithms; Image matching; Image resolution; Projection algorithms; Genetic algorithm; Image matching; MPSA; Projection algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597310

Filename

4597310