NDLI: Automatic construction of image operators using a genetic programming approach

Content Provider	IEEE Xplore Digital Library
Author	Pedrino, E.C. Saito, J.H. Kato, E.R.R. Morandin, O. Del Val Cura, L.M. Roda, V.O. Tronco, M.L. Tsunaki, R.H.
Copyright Year	2011
Description	Author affiliation: Federal University of Rio Grande do Norte Natal, Brazil (Roda, V.O.) \|\| Sao Paulo University, Sao Carlos, Brazil (Tronco, M.L.; Tsunaki, R.H.) \|\| Federal University of São Carlos, São Carlos, Brazil (Pedrino, E.C.; Saito, J.H.; Kato, E.R.R.; Morandin, O.) \|\| Faculty of Campo Limpo Paulista, Campo Limpo Paulista, Brazil (Del Val Cura, L.M.)
Abstract	This paper presents a methodology for automatic construction of image operators using a linear genetic programming approach, for binary, gray level and color 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 modeling 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.
Starting Page	636
Ending Page	641
File Size	1454888
Page Count	6
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training genetic programming Image color analysis Genetic programming Morphology Color computer vision mathematical morphology operators Biological cells automatic construction
Content Type	Text
Resource Type	Article

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