Multiclass object recognition based on texture linear genetic programming

Conferences Papers
  1. Gustavo Olague, Eva Romero, Leonardo Trujillo and Bir Bhanu. Multiclass Object Recognition Based on Texture Linear Genetic Programming. In Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing. 2007, 291–300. URL, DOI BibTeX

    @inproceedings{Olague:2009:MOR:1574739.1574774,
    	author = "Olague, Gustavo and Romero, Eva and Trujillo, Leonardo and Bhanu, Bir",
    	title = "Multiclass Object Recognition Based on Texture Linear Genetic Programming",
    	booktitle = "Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing",
    	year = 2007,
    	isbn = "978-3-540-71804-8",
    	location = "Valencia, Spain",
    	pages = "291--300",
    	numpages = 10,
    	url = "http://dx.doi.org/10.1007/978-3-540-71805-5_32",
    	doi = "10.1007/978-3-540-71805-5_32",
    	acmid = 1574774,
    	publisher = "Springer-Verlag",
    	address = "Berlin, Heidelberg"
    }
    
Abstract

This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recognition problems. The method searches for optimal regions of interest, using texture information as its feature space and classification accuracy as the fitness function. Texture is analyzed based on the gray level cooccurrence matrix and classification is carried out with a SVM committee. Results show effective performance compared with previous results using a standard image database.

Published in
Applications of Evolutionary Computing
Lecture Notes in Computer Science
Volume 4448
http://link.springer.com/chapter/10.1007%2F978-3-540-71805-5_32
(Nominated for the Best Paper Award at EvoIASP 2007)
Date of conference
11 - 13 Abril 2007
Pages
291 - 300
ISBN
0-7695-2372-2
Last modified onTuesday, 08 October 2013 03:54
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