DocumentCode
530594
Title
An improved algorithm of image edge detection based on grey prediction model
Author
Tong-Li, He ; Jian-Hong, Gan
Author_Institution
Math Dept., Chengdu Inst. of Inf. Eng., Chengdu, China
Volume
5
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
107
Lastpage
110
Abstract
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.
Keywords
edge detection; grey systems; grey prediction model; image analysis; image edge detection; Gallium nitride; Image edge detection; Predictive models; GM(1,1) model; edge detection; image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610043
Filename
5610043
Link To Document