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
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;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.718