DocumentCode
3272794
Title
An Image Edge Detection Algorithm Based on Local Entropy
Author
Dai, Wenzhan ; Wang, Kangtai
Author_Institution
Gongshang Univ. HangZhou, Hangzhou
fYear
2007
fDate
20-24 March 2007
Firstpage
418
Lastpage
420
Abstract
A new algorithm of detecting image edge based on local entropy is proposed. It is analyzed that the smaller the local entropy is, the bigger the dispersion is. So the point with big local entropy is considered as a edge pixel, which can be detected by computing the local entropy of pixel and its eight neighbor pixel. Simulation shows that this algorithm has a higher precision because of having better anti-noise ability.
Keywords
edge detection; entropy; antinoise ability; edge pixel; image edge detection algorithm; local entropy; Change detection algorithms; Computational modeling; Educational institutions; Entropy; Image edge detection; Laplace equations; Machine vision; Pattern recognition; Pixel; Smoothing methods; Detecting image edge; Local entropy; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location
Shenzhen
Print_ISBN
1-4244-1092-4
Electronic_ISBN
1-4244-1092-4
Type
conf
DOI
10.1109/ICITECHNOLOGY.2007.4290509
Filename
4290509
Link To Document