Color Edge Detection Based on Data Fusion Technology in Presence of Gaussian Noise

Abstract

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. Since the proposed techniques for edge detection are very sensitive to noise, subprefiltering or prefiltering algorithms are generally adopted and very critical. A new nonlinear prefilter is used to reduce noise in the R, G, and, B components of the image. The method preserves edges, corners and fine image details, smoothes Gaussian noise and does not require any a priori knowledge.