Detail publikace
Evaluation of a New Platform For Image Filter Evolution
VAŠÍČEK, Z. SEKANINA, L.
Originální název
Evaluation of a New Platform For Image Filter Evolution
Anglický název
Evaluation of a New Platform For Image Filter Evolution
Jazyk
en
Originální abstrakt
This paper describes a new FPGA implementation of a system for evolutionary image filter design. Three parallel search algorithms are compared. An optimal mutation rate and the quality of three pseudo-random number generators are investigated. The efficiency of proposed system is demonstrated on the problem of removing the salt-and-pepper noise with intensity of 5%, 10% and 20% and designing an edge detector which works with input images corrupted by the salt-and-pepper noise.
Anglický abstrakt
This paper describes a new FPGA implementation of a system for evolutionary image filter design. Three parallel search algorithms are compared. An optimal mutation rate and the quality of three pseudo-random number generators are investigated. The efficiency of proposed system is demonstrated on the problem of removing the salt-and-pepper noise with intensity of 5%, 10% and 20% and designing an edge detector which works with input images corrupted by the salt-and-pepper noise.
Dokumenty
BibTex
@inproceedings{BUT28807,
author="Zdeněk {Vašíček} and Lukáš {Sekanina}",
title="Evaluation of a New Platform For Image Filter Evolution",
annote="This paper describes a new FPGA implementation of a system for evolutionary image
filter design. Three parallel search algorithms are compared. An optimal mutation
rate and the quality of three pseudo-random number generators are investigated.
The efficiency of proposed system is demonstrated on the problem of removing the
salt-and-pepper noise with intensity of 5%, 10% and 20% and designing an edge
detector which works with input images corrupted by the salt-and-pepper noise.",
address="IEEE Computer Society",
booktitle="Proc. of the 2007 NASA/ESA Conference on Adaptive Hardware and Systems",
chapter="28807",
howpublished="print",
institution="IEEE Computer Society",
year="2007",
month="august",
pages="577--584",
publisher="IEEE Computer Society",
type="conference paper"
}