DocumentCode
2911328
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
Volume
1
fYear
2009
fDate
4-5 July 2009
Firstpage
465
Lastpage
469
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3682-8
Type
conf
DOI
10.1109/ESIAT.2009.49
Filename
5200161
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