Figure classification system of laser beam trace using Genetic Programming

Author

Fukushima, Hiroki ; Tsujimura, Takeshi ; Izumi, Kiyotaka ; Minato, Yoshihiro

Author_Institution

Dept. of Mech. Eng., Saga Univ., Saga, Japan

fYear

2012

fDate

20-23 Aug. 2012

Firstpage

284

Lastpage

289

Abstract

This paper proposes a shape classification system using Genetic Programming. In this research, the classification tree for shape identification is generated based on velocity vectors drawn by a laser pointer. We confirm the classification tree can be used for shape identification, by adjusting the function set, target program size, crossover rate, and mutation rate to optimize Genetic Programming. As a result, my proposal makes it possible to classify the shape of a drawn figure in high accuracy of 0.960.

Keywords

genetic algorithms; image classification; laser beams; classification tree; crossover rate; figure classification system; function set; genetic programming; laser beam trace; laser pointer; mutation rate; shape classification system; shape identification; target program size; velocity vector; Classification tree analysis; Computer vision; Genetic programming; Image motion analysis; Laser beams; Optical imaging; Testing; Genetic Programming; image processing; laser pointer; optical flow; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE Annual Conference (SICE), 2012 Proceedings of

Conference_Location

Akita

ISSN

pending

Print_ISBN

978-1-4673-2259-1

Type

conf

Filename

6318448