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
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;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.273
