DocumentCode
3354174
Title
An Improved CANNY Edge Detection Algorithm
Author
Wang, Bing ; Fan, Shaosheng
Author_Institution
Dept. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
Volume
1
fYear
2009
fDate
28-30 Oct. 2009
Firstpage
497
Lastpage
500
Abstract
Canny arithmetic operator has been proved to have good detective effect in the common usage of edge detection. However, Canny operator also has certain deficiencies. Based on the analysis of the traditional Canny algorithm, an improved Canny algorithm is proposed in this paper. In the algorithm, self-adaptive filter is used to replace the Gaussian filter, morphological thinning is adopted to thin the edge and morphological operator is used to achieved the refining treatment of edge points detection and the single pixel level edge. The results of experiment show the improved Canny algorithm is reasonable.
Keywords
adaptive filters; edge detection; image thinning; mathematical morphology; Canny arithmetic operator; edge detection; edge refinement; morphological operator; morphological thinning; self-adaptive filter; Adaptive filters; Algorithm design and analysis; Computer science; Digital arithmetic; Gaussian noise; Image edge detection; Image registration; Image segmentation; Pattern recognition; Shape; adaptive filter; canny algorithm; edge detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-3881-5
Type
conf
DOI
10.1109/WCSE.2009.718
Filename
5403419
Link To Document