Automatic construction of image operators using a genetic programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{Pedrino:2011:ISDA,

• author = "Emerson Carlos Pedrino and Jose Hiroki Saito and Edilson R. R. Kato and Orides {Morandin, Jr.} and Luis Mariano {Del Val Cura} and Valentin Obac Roda and Mario L. Tronco and Roberto H. Tsunaki",
• title = "Automatic construction of image operators using a genetic programming approach",
• booktitle = "11th International Conference on Intelligent Systems Design and Applications (ISDA 2011)",
• year = "2011",
• month = "22-24 " # nov,
• pages = "636--641",
• address = "Cordoba",
• size = "6 pages",
• abstract = "This paper presents a methodology for automatic construction of image operators using a linear genetic programming approach, for binary, gray level and colour image processing, where the processing solution for a particular application is expressed in terms of the basic morphological operators, dilation and erosion, in conjunction with convolution and logical operators. Genetic Programming (GP), based on concepts of genetics and Darwin's principle of natural selection, to genetically breed and evolve computer programs to solve a wide variety of problems, is a branch of evolutionary computation, and it is consolidating as a promising methodology to be used in applications involving pattern recognition, classification problems and modelling of complex systems. Mathematical morphology is based on the set theory (complete lattice), where the notion of order is very important. This processing technique has proved to be a powerful tool for many computer vision tasks. However, the manual design of complex operations involving image operators is not trivial in practice. Thus, the proposed methodology tries to solve these drawbacks. Some examples of applications are presented and the results are discussed and compared with other methods found in the literature.",
• keywords = "genetic algorithms, genetic programming, Darwin principle, binary image processing, classification problem, colour image processing, computer vision, convolution, dilation, erosion, evolutionary computation, gray level image processing, image operator, linear genetic programming, morphological operator, pattern recognition, set theory, computer vision, image colour analysis, linear programming, set theory",
• DOI = "doi:10.1109/ISDA.2011.6121727",
• ISSN = "2164-7143",
• notes = "Also known as \cite{6121727}",

}

Genetic Programming entries for Emerson Carlos Pedrino Jose Hiroki Saito Edilson R R Kato Orides Morandin Jr Luis Mariano del Val Cura Valentin Obac Roda Mario Luiz Tronco Roberto Hideaki Tsunaki

Citations