Color image edge detection algorithm

Traditional edge detection methods are mostly based on gray images,so they cannot efficiently process messages in color image.A color edge detection method was developed to correctly reproduce distinct,continuous edges based on the multichannel data fusion technique and the gradient direction information contained in the image.The algorithm employs a multipass processing approach that removes noise from the RGB components with a pre-filter,with the color edge detector then based on an extended gray scale edge gradient template detector.Edge growing is used to remove edge discontinuities with an adaptive method to select the edge extraction threshold.Simulation results show that the algorithm reproduces accurate, smooth edges due to the use of the gradient and color information.