Title :
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
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;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1
