Real Time Low Level Parallel Image Processing For Active Vision Systems

Ashish Tanwer, Rattandeep Singh, Parminder Singh Reel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publication2009 IEEE International Advance Computing Conference
PublisherIEEE
Pages1347-1352
Number of pages6
ISBN (Electronic)9781424429288
ISBN (Print)9781424429271
DOIs
Publication statusPublished - 31 Mar 2009
Event2009 IEEE International Advance Computing Conference (IACC 2009) - Patiala, India
Duration: 6 Mar 20097 Mar 2009

Conference

Conference2009 IEEE International Advance Computing Conference (IACC 2009)
Period6/03/097/03/09

Keywords

  • Real time systems
  • Image processing
  • Machine vision
  • MATLAB
  • Smoothing methods
  • Image edge detection
  • Image segmentation
  • Image coding
  • Computational modeling
  • Parallel processing

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  • Cite this

    Tanwer, A., Singh, R., & Reel, P. S. (2009). Real Time Low Level Parallel Image Processing For Active Vision Systems. In 2009 IEEE International Advance Computing Conference (pp. 1347-1352). IEEE. https://doi.org/10.1109/IADCC.2009.4809212