IMPROVING AND MEASURING COLOR EDGE DETECTION ALGORITHM IN RGB COLOR SPACE

Edge detection process has a widespread usage in computer vision applications. But it has a different output when its input image changes from color to grayscale. This changeability of results make us add modification on edge detection process procedures to correctly detect all those edges in color images that cana€ t be detected in gray ones. This research reviews the proposed solution of Dutta and Chaudhuri on color edge detection algorithm that works using RGB color space, detects problem of a huge set of undetected edges by their proposed algorithm and find solutions for that, and applies complexity and performance analysis and experiments to compare the proposed algorithm with Canny and Sobel edge detection algorithms.