Abstract
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.