Concurrent edge detection with Spiral Architecture on Linux

Publication Type:
Conference Proceeding
Citation:
Proceedings ITCC 2003, International Conference on Information Technology: Computers and Communications, 2003, pp. 524 - 528
Issue Date:
2003-01-01
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© 2003 IEEE. 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 the form of a master-slave model. Spiral Architecture enables an image to be uniformly 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.
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