Implementation of Canny Edge Detector of color images on CELL/B.E. Architecture

In this project we propose a method to improve the efficiency and performance of Canny Edge Detector by implementing it on CELL/B.E. Architecture. The Canny edge detection algorithm involves a large number of matrix operations. The convolution and other matrix operations can be carried out efficiently on CELL/B.E. architecture because of its parallelized job processing ability and the SIMD Instructions. About 10% of extra edges can be found using color images, but for these extra edges, the amount of processing triples as it has to be done for each of the Red, Green, Blue images.