Hybrid Evolvable Hardware for automatic generation of image filters
Created by W.Langdon from
gp-bibliography.bib Revision:1.7989
- @Article{Almeida:2018:ICAE,
-
author = "M. A. Almeida and E. C. Pedrino",
-
title = "Hybrid Evolvable Hardware for automatic generation of
image filters",
-
journal = "Integrated Computer-Aided Engineering",
-
year = "2018",
-
volume = "25",
-
number = "3",
-
pages = "289--303",
-
keywords = "genetic algorithms, genetic programming, Evolvable
Hardware, FPGA, virtual reconfigurable architecture",
-
ISSN = "1069-2509",
-
DOI = "doi:10.3233/ICA-180561",
-
size = "15 pages",
-
abstract = "In this article, a new framework is proposed and
implemented for automatic generation of image filters
in reconfigurable hardware (FPGA), called H-EHW
(Hybrid-Evolvable Hardware). This consists basically of
two modules. The first (training module) is responsible
for the automatic generation of solutions (filters).
The second (fusion module) converts such solutions into
hardware, thus creating a virtual and reconfigurable
architecture for fast image processing. Monochromatic
pairs of images are used for the system training and
testing. Extensive tests show that there are several
benefits of the proposed system when compared to other
similar systems described in the literature, such as:
reduced phenotype length (generated circuit), reduced
reconfiguration time, greater hardware reconfiguration
flexibility and no more need for the manipulation of
the bitstream of the FPGA for circuit evolution (a
problem often encountered in practice by designers).",
- }
Genetic Programming entries for
M A Almeida
Emerson Carlos Pedrino
Citations