Reconfigurable architecture for mathematical morphology using genetic programming and FPGAs

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Emerson Carlos Pedrino and Osmar Ogashawara and 
                 Valentin Obac Roda",
  title =        "Reconfigurable architecture for mathematical
                 morphology using genetic programming and FPGAs",
  booktitle =    "IEEE International Symposium on Parallel Distributed
                 Processing, Workshops and Phd Forum (IPDPSW), 2010",
  year =         "2010",
  month =        "19-23 " # apr,
  abstract =     "The task of designing manually morphological operators
                 for a given application is not always a trivial one.
                 Genetic programming is a branch of evolutionary
                 computing and it is consolidating as a promising method
                 for applications of digital image processing. The main
                 objective of genetic programming is to discover how
                 computers can learn to solve problems without being
                 programmed for that. In the literature little has been
                 found about the automatic morphological construction of
                 operators using genetic programming. In this paper,
                 it's presented an original architecture implemented in
                 a FPGA for classical mathematical morphological (binary
                 and gray level) operations that are generated
                 automatically by a genetic programming approach. The
                 possible applications for the system are: pattern
                 recognition and emulation of simple filters, to name
                 just a few. Practical examples using the developed
                 system are presented.",
  keywords =     "genetic algorithms, genetic programming, FPGA, digital
                 image processing, evolutionary computing, mathematical
                 morphology, morphological operators, pattern
                 recognition, reconfigurable architecture, field
                 programmable gate arrays, image processing,
                 mathematical morphology, reconfigurable architectures",
  DOI =          "doi:10.1109/IPDPSW.2010.5470739",
  notes =        "Also known as \cite{5470739}",

Genetic Programming entries for Emerson Carlos Pedrino Osmar Ogashawara Valentin Obac Roda