DocumentCode
3076330
Title
Real Time Low Level Parallel Image Processing For Active Vision Systems
Author
Tanwer, Ashish ; Singh, Rattandeep ; Reel, Parminder Singh
Author_Institution
Electron. & Commun. Eng. Dept., Thapar Univ., Patiala
fYear
2009
fDate
6-7 March 2009
Firstpage
1347
Lastpage
1352
Abstract
This paper presents an overview of low level parallel image processing algorithms and their implementation for active vision systems. Authors have demonstrated novel low level image processing algorithms for point operators, local operators, dithering, smoothing, edge detection, morphological operators, image segmentation and image compression. The algorithms have been prepared & described as pseudo codes. These algorithms have been simulated using Parallel Computing Toolboxtrade (PCT) of MATLAB. The PCT provides parallel constructs in the MATLAB language, such as parallel for loops, distributed arrays and message passing & enables rapid prototyping of parallel code through an interactive parallel MATLAB session.
Keywords
active vision; parallel processing; Parallel Computing ToolboxTM; active vision system; dithering; edge detection; image compression; image segmentation; local operators; low level parallel image processing; morphological operator; point operators; pseudocodes; smoothing; Computational modeling; Image coding; Image edge detection; Image processing; Image segmentation; MATLAB; Machine vision; Parallel processing; Real time systems; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference, 2009. IACC 2009. IEEE International
Conference_Location
Patiala
Print_ISBN
978-1-4244-2927-1
Electronic_ISBN
978-1-4244-2928-8
Type
conf
DOI
10.1109/IADCC.2009.4809212
Filename
4809212
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