Tanwer, Ashish; Singh, Rattandeep and Reel, Parminder Singh
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1109/IADCC.2009.4809212|
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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.
|Item Type:||Conference Item|
|Copyright Holders:||2009 IEEE|
|Extra Information:||ISBN 978-1-4244-2928-8 pp.1347-1352|
|Keywords:||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|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Parminder Reel|
|Date Deposited:||26 Jul 2012 09:25|
|Last Modified:||06 Oct 2016 04:56|
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