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 language | English |
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Title of host publication | 2009 IEEE International Advance Computing Conference |
Publisher | IEEE |
Pages | 1347-1352 |
Number of pages | 6 |
ISBN (Electronic) | 9781424429288 |
ISBN (Print) | 9781424429271 |
DOIs | |
Publication status | Published - 31 Mar 2009 |
Event | 2009 IEEE International Advance Computing Conference (IACC 2009) - Patiala, India Duration: 6 Mar 2009 → 7 Mar 2009 |
Conference
Conference | 2009 IEEE International Advance Computing Conference (IACC 2009) |
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Period | 6/03/09 → 7/03/09 |
Keywords
- Real time systems
- Image processing
- Machine vision
- MATLAB
- Smoothing methods
- Image edge detection
- Image segmentation
- Image coding
- Computational modeling
- Parallel processing