Arquitetura pipeline reconfigurável através de instruções geradas por programação genética para processamento morfológico de imagens digitais utilizando FPGAs / Reconfigurable pipelined architecture through instructions generated by genetic programming for morphological image processing using FPGAs

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

Mathematical morphology supplies powerful tools for low level image analysis, with applications in robotic vision, visual inspection, medicine, texture analysis and many other areas. Many of the mentioned applications require dedicated hardware for real time execution. The task of designing manually morphological operators for a given application isnot always a trivial one. Genetic programming is a relatively new 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 operators construction using genetic programming. In this work, the development of an original reconfigurable architecture using logical and morphological instructions generated automatically by a linear approach based on genetic programming is presented. The developed architecture is based on Field Programmable Gate Arrays (FPGAs) and has among the possible applications, image filtering, pattern recognition and filter emulation. Binary, gray level and color image practical applications using the developed architecture are presented and the results are compared with other implementation techniques.

ASSUNTO(S)

genetic programming arquitetura pipeline mathematical morphology fpgas programação genética pipelined architecture fpgas morfologia matemática

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