Title :
A Comparative Study of the Anti-noise Ability about Cubic B-spline Wavelet and Canny Algorithm
Author :
Li, Qing ; Liang, Yan ; Peng, Yanfang
Author_Institution :
Sch. of Inf. Eng., WHUT, Wuhan
Abstract :
The important scenery structure is embodied by the image border which carries the most important characteristic information of an image. Therefore, searching for a kind of better edge detection method which will apply to most images and have good anti-noise ability has become an urgent solution to this problem. The images containing different noise are detected by Cubic B-spline wavelet in this paper, and its result about anti-noise ability is superior to canny algorithm in both the subjective vision and the objective data.
Keywords :
edge detection; splines (mathematics); anti-noise ability; canny algorithm; cubic B-spline wavelet; edge detection; image border; scenery structure; Computer science; Filters; Image edge detection; Image processing; Pixel; Pollution; Polynomials; Software algorithms; Software engineering; Spline;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1021
