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"
}