DocumentCode
1837383
Title
Improved Self-Adaptive Edge Detection Method Based on Canny
Author
Geng Hao ; Luo Min ; Hu Feng
Author_Institution
Coll. of Inf. Eng., Ningbo Dahongying Univ., Ningbo, China
Volume
2
fYear
2013
fDate
26-27 Aug. 2013
Firstpage
527
Lastpage
530
Abstract
The premise of obtaining the clear object contour in traditional Canny operator is to set appropriate parameters, does not have the adaptive ability. An adaptive Canny edge-detection method is proposed which Based on Canny theory. Adopt the 3*3 neighborhood instead of Canny algorithm in 2*2 neighborhood to calculate the calculation gradient. Then, the maximum between-class variance (Otsu) method is used to obtain the high and low thresholds. Experiments show that, this algorithm can get good edge detection.
Keywords
edge detection; Canny algorithm; Canny operator; Canny theory; Otsu method; adaptive Canny edge-detection method; clear object contour; maximum between-class variance method; self-adaptive edge detection method; Algorithm design and analysis; Educational institutions; Filtering algorithms; Filtering theory; Image edge detection; Noise; Smoothing methods; Canny algorithm; Otsu´s method; edge detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-0-7695-5011-4
Type
conf
DOI
10.1109/IHMSC.2013.273
Filename
6642801
Link To Document