Evaluation of a New Platform For Image Filter Evolution

Author

Vasicek, Zdenek ; Sekanina, Lukas

Author_Institution

Brno Univ. of Technol., Brno

fYear

2007

fDate

5-8 Aug. 2007

Firstpage

577

Lastpage

586

Abstract

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.

Keywords

edge detection; field programmable gate arrays; filtering theory; FPGA implementation; edge detector; image filter evolution; optimal mutation rate; parallel search algorithms; pseudo-random number generators; salt-and-pepper noise; Circuits; Detectors; Electronic mail; Field programmable gate arrays; Genetic mutations; Hardware; Image edge detection; Information filtering; Information filters; Information technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on

Conference_Location

Edinburgh

Print_ISBN

978-0-7695-2866-3

Type

conf

DOI

10.1109/AHS.2007.49

Filename

4291970

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3285703