An Improved Algorithm of Image Edge Detection Based on Grey Prediction Model

作     者：He Tong-Li Math Department Chengdu Institute of Information Engineering Chengdu , China Gan Jian-Hong College of Software Engineering Chengdu Institute of Information Engineering Chengdu , China 

会议名称：《2010 International Conference on Computer,Mechatronics, Control and Electronic Engineering (CMCE 2010)》

会议日期：2010年

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by CRF201005 KYTZ201040 

关 键 词：GM(1,1) model image processing edge detection 

摘      要：With conventional edge detection algorithms, the shortcomings of undetected and artificial information will happen. An improved method based on grey prediction model is proposed to improve the performance of image edge detection considerably, and the corresponding experiments is carried out. The results show that the algorithm can effectively detect the edge of images, while retaining more vivid image details, comparing to the traditional algorithm。 This electronic document is a live template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. DO NOT USE SPECIAL CHARACTERS, SYMBOLS, OR MATH IN YOUR TITLE OR ABSTRACT.