Automatic construction of image operators using a genetic programming approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @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