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International Conference on Information Technology: Computers and Communications
Concurrent Edge Detection with Spiral Architecture on Linux
Las Vegas, Nevada
April 28-April 30
ISBN: 0-7695-1916-4
Qimei Hu, University of Technology, Sydney
Xiangjian He, University of Technology, Sydney
Qiang Wu, University of Technology, Sydney
Edge detection is an essential tool in image analysis. It is a process of identifying significant discontinuities in light intensities in order to form an outline of the object of interest. Spiral Architecture provides powerful computational power as a method of image data representation. Gaussian multi-scale theory was employed as the mathematical model for edge detection. The parallel processing algorithm was implemented in form of Master-Slave model. Spiral Architecture enables image to be niformly partitioned and distributed to slave processors after spiral multiplication. Concurrent processing is facilitated by inter-process communication and socket interface programming tools of Linux operating system.
Citation:
Qimei Hu, Xiangjian He, Qiang Wu, "Concurrent Edge Detection with Spiral Architecture on Linux," itcc, pp.524, International Conference on Information Technology: Computers and Communications, 2003
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