Angular estimation by image analysis and genetic algorithm

Author

Wu, Wei ; Cabestaing, Franéois ; Postaire, Jack-Gérard

Author_Institution

Equipe Image et Decision, Univ. des Sci. et Tech. de Lille Flandres Artois, Villeneuve d´´Ascq, France

Volume

2

fYear

1997

fDate

12-15 Oct 1997

Firstpage

1918

Abstract

In this paper, we propose a method which allows a precise estimation of the angular position of a non-deformable body using image processing and genetic algorithms. We present the geometric model used to describe the relationship between coordinates in the image of a mark situated on the non-deformable body and the angular position. We show that the estimation of an angular position is an optimization process. We describe the image processing step which allows one to detect the marks in the images. Finally, we show that the optimization process can be evaluated efficiently by a fuzzy genetic algorithm

Keywords

computational geometry; computer vision; fuzzy set theory; genetic algorithms; knowledge based systems; motion estimation; real-time systems; angular position estimation; computer vision; fuzzy genetic algorithm; geometric model; image analysis; image processing; knowledge based system; nondeformable body; optimization; real time systems; Biological cells; Cameras; Genetic algorithms; Genetic mutations; Image analysis; Image processing; Mechanical sensors; Response surface methodology; Solid modeling; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.638346

Filename

638346