DocumentCode :
1518517
Title :
Automatic edge extraction using locally adaptive threshold
Author :
Jung, G.S. ; Park, R.-H.
Author_Institution :
Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea
Volume :
24
Issue :
11
fYear :
1988
fDate :
5/26/1988 12:00:00 AM
Firstpage :
711
Lastpage :
712
Abstract :
The authors describe an automatic edge extraction algorithm using a new edge operator called the EK edge operator, and a locally adaptive threshold subject to brightness and gradient value in a picture. The proposed algorithm is capable of extracting one-pixel-thick edges and giving a rather pleasing representation of the original grey-level picture. This algorithm is compared to the well known Sobel gradient operator and Keskes´ zero-crossing operator
Keywords :
pattern recognition; picture processing; automatic edge extraction algorithm; brightness; gradient value; grey-level picture; image processing; locally adaptive threshold; one-pixel-thick edges; pattern recognition;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
Filename :
5770
Link To Document :
بازگشت