DocumentCode
1894930
Title
An Improved Adaptive Threshold Canny Edge Detection Algorithm
Author
Jie, Gao ; Ning, Liu
Author_Institution
Dept. of Comput. Sci. & Applic., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
Volume
1
fYear
2012
fDate
23-25 March 2012
Firstpage
164
Lastpage
168
Abstract
It has proposed an adaptive threshold edge detection algorithm in this paper, which applies the bilateral filtering that has the advantages of edge-preserving and noise-removing firstly. Then it uses OTSU, which is based on gradient magnitude to maximize the separability of the resultant classes, to determine the low and high thresholds of the canny operator. Finally, the edge detection and connection are performed. The experimental results show that this algorithm is practical and reliable.
Keywords
edge detection; filtering theory; Canny operator; OTSU; adaptive threshold Canny edge detection algorithm; bilateral filtering; edge connection; edge-preserving; gradient magnitude; noise-removing; Algorithm design and analysis; Filtering algorithms; Filtering theory; Image edge detection; Low pass filters; Noise; OTSU; bilateral filtering; canny operator; edge detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.154
Filename
6187852
Link To Document