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Tanwer, Ashish; Singh, Rattandeep and Reel, Parminder Singh
(2009).
DOI: https://doi.org/10.1109/IADCC.2009.4809212
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.
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- Item ORO ID
- 34089
- Item Type
- Conference or Workshop Item
- 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 or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2009 IEEE
- Related URLs
- Depositing User
- Parminder Reel