Title :
An Adaptive Edge-Detection Method Based on the Canny Operator
Author :
Er-Sen, Li ; Shu-Long, Zhu ; Bao-Shan, Zhu ; Yong, Zhao ; Chao-Gui, Xia ; Li-Hua, Song
Author_Institution :
Surveying & Mapping Inst., Inf. & Eng. Univ., Zhengzhou, China
Abstract :
On the basis of analyzing the conventional Canny algorithm, this paper advanced an adaptive edge-detection method based on the Canny operator. This method not only keeps the Cannypsilas good performance in good detection, good localization and only one response to a single edge, but also improves the capability of restraining the fake edge and the automaticity of edge-detection based on the Otsupsilas thresholding method. Through experiments, it is demonstrated that the adaptive edge-detection method in this paper is very effective.
Keywords :
edge detection; image segmentation; image texture; Canny operator; Otsu thresholding method; adaptive edge-detection method; image segmentation; image texture; Algorithm design and analysis; Chaos; Filtering; Gaussian processes; Image analysis; Image edge detection; Image quality; Image segmentation; Lighting; Shape; Adaptive Threshold; Canny Operator; Otsu´s thresholding Method;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.49
