Figure classification system of laser beam trace using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7810

@InProceedings{Fukushima:2012:SICE,

• author = "Hiroki Fukushima and Takeshi Tsujimura and Kiyotaka Izumi and Yoshihiro Minato",
• booktitle = "SICE Annual Conference 2012",
• title = "Figure classification system of laser beam trace using Genetic Programming",
• year = "2012",
• pages = "284--289",
• address = "Akita, Japan",
• month = aug # " 20-23",
• isbn13 = "978-1-4673-2259-1",
• URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6318448",
• size = "6 pages",
• 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 optimise 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, genetic programming, image classification, laser beams, classification tree, crossover rate, figure classification system, function set, laser beam trace, laser pointer, mutation rate, shape classification system, shape identification, target program size, velocity vector, Classification tree analysis, Computer vision, Image motion analysis, Laser beams, Optical imaging, Testing, image processing, laser pointer, optical flow, pattern recognition",
• notes = "\cite{Tsujimura:2012:FedCSIS} Also known as \cite{6318448}",

}

Genetic Programming entries for Hiroki Fukushima Takeshi Tsujimura Kiyotaka Izumi Yoshihiro Minato

Citations