Architecture for binary mathematical morphology reconfigurable by genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Pedrino:2010:SPL,

• author = "Emerson Carlos Pedrino and Jose Hiroki Saito and Valentin Obac Roda",
• title = "Architecture for binary mathematical morphology reconfigurable by genetic programming",
• booktitle = "VI Southern Programmable Logic Conference (SPL 2010)",
• year = "2010",
• month = "24-26 " # mar,
• pages = "93--98",
• abstract = "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. In this paper, the development of a novel reconfigurable hardware using logical and morphological instructions generated automatically by a linear approach based on genetic programming is proposed. The hardware is capable of processing binary images at high speed. The developed system is based on high-capacity PLDs and has among the possible applications: automatic construction of image filters, intelligent pattern recognition, to name just a few. Some applications using the developed reconfigurable system are presented and the results are discussed and compared with other approaches.",
• keywords = "genetic algorithms, genetic programming, binary image processing, binary mathematical morphology, high-capacity PLDs, image analysis, image filters, intelligent pattern recognition, logical instruction, morphological instruction, programmable logic devices, reconfigurable hardware, image processing, mathematical morphology, pattern recognition",
• DOI = "doi:10.1109/SPL.2010.5483033",
• notes = "Also known as \cite{5483033}",

}

Genetic Programming entries for Emerson Carlos Pedrino Jose Hiroki Saito Valentin Obac Roda

Citations