A NOBEL HYBRID APPROACH FOR EDGE DETECTION

Abstract

The objective of this paper is to present the hybrid approach for edge detection. Under this technique, edge detection is performed in two phase. In first phase, Canny Algorithm is applied for image smoothing and in second phase neural network is to detecting actual edges. Neural network is a wonderful tool for edge detection. As it is a non-linear network with built-in thresholding capability. Neural Network can be trained with back propagation technique using few training patterns but the most important and difficult part is to identify the correct and proper training set.