Image edge detection using adaptive morphology Meyer Wavelet-CNN

Abstract

Image happens being vague of boundary side in the object division of the digital image because it can be distorted by mixing with a noise doing the transmission or other elements of system. So, it is proposed the edge detection method of optimal to detect and divide exactly the boundary part. In this paper, after it does level up the boundary side of the image by using the adaptive morphology operation as threshold of the input image, it detected the optimal edge being applied this to wavelet-Cellular Neural Network(CNN), It compared with the conventional Sobel method that is the edge detection algorithm, and then it confirmed that the proposed algorithm is superior to the conventional methods.