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

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

关键词： GM(1,1) model image processing edge detection

作者: He Tong-Li Gan Jian-Hong

作者单位: Math Department Chengdu Institute of Information Engineering Chengdu, China College of Software Engineering Chengdu Institute of Information Engineering Chengdu, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 107-110

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）