文档介绍：Image edge detection using adaptive morphology Meyer N
Young-Hyun Baek, Oh-Sung Byun, Sung-Rung Moon
Department of Electronic Engineering Wonkwang University
344-2 Shinyoung-Dong , Iksan, Chun-Buk, Korea, 570-749
neural76@
AbsIrocI-Image happens being vague of boundary side in the image, and it is to be i~llementedan algorithm to detect an optimal
abject division of the digital image because it can he distorted by edge as applying morphology algorithm to Wavelet-CA".
mixing with a noise doing the transmission or other elements of
system. 11. MORPHOLOGY
So, it is proposed the edge detection method of optimal to
detect and divide exactly the boundary part. In this paper, after In order to analyze the geometrical structure of muhtal
it does level up the boundary side of the image by using the objects in image processing and interpretation, image is
adaptive morphology operation as threshold of the input image, divided and recognized. In the mathematical morphology,
it detected the optimal edge being applied this to wavelet-
Cellular N), pared with the such an object and a background of image are represented as
conventional Sobel method that is the edge detection algorithm, set theory. And the lexical meaning is said to handle the
and then it confirmed that the proposed algorithm is superior to morphological side of a certain image as