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
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;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.154
