DocumentCode
359227
Title
Adaptive noise canceling and edge detection in images using PVM on a NOW
Author
Mylonas, S.A. ; Trancoso, P. ; Trimikliniotis, M.
Author_Institution
Intercollege, Limassol, Cyprus
Volume
2
fYear
2000
fDate
2000
Firstpage
681
Abstract
A method for the processing of digital images using a two-dimensional LMS adaptive filter for noise reduction and subsequent edge detection is presented. This is implemented on a parallel virtual machine (PVM) consisting of inexpensive PCs (network of workstations, NOW). The experimental results for different image sizes and system configurations show close to linear speedup. Experiments to test dynamic load balancing are also performed.
Keywords
adaptive filters; edge detection; image enhancement; interference suppression; least mean squares methods; parallel algorithms; two-dimensional digital filters; NOW; PVM; adaptive noise canceling; digital images; dynamic load balancing; edge detection; image size; images; network of workstations; parallel virtual machine; system configuration; two-dimensional LMS adaptive filter; Adaptive filters; Digital images; Image edge detection; Least squares approximation; Noise cancellation; Noise reduction; Personal communication networks; Testing; Virtual machining; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean
Print_ISBN
0-7803-6290-X
Type
conf
DOI
10.1109/MELCON.2000.880025
Filename
880025
Link To Document