Real time low level parallel image processing for active vision systems

Tanwer, Ashish; Singh, Rattandeep and Reel, Parminder Singh (2009). Real time low level parallel image processing for active vision systems. In: 2009 IEEE International Advance Computing Conference, pp. 1347–1352.

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.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI

About

• 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
• • http://ieeexplore.ieee.org/xpl/articleDe...(Other)
• Depositing User
• Parminder Reel