Title :
Edge detection of pulp fibre image based on directional wavelet transform
Author :
Hou, Beiping ; Li, Ping ; Song, Zhihuan
Author_Institution :
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Abstract :
In order to process the pulp fiber image more effectively, according to its characteristics, a novel type directional wavelet transform is applied. In this paper, the relationship and differences between traditional and directional wavelet transforms are shown. Our analysis shows that directional wavelet transform can better reflect the edge information of images because it better corresponds to the characteristics of image direction and texture. The experiment proves that the directional characterizations of the fibre image can be extracted effectively.
Keywords :
edge detection; image texture; wavelet transforms; directional characterizations; directional wavelet transform; edge detection; fibre image extraction; image direction; image texture; images edge information; pulp fibre image; Data mining; Filters; Frequency; Image analysis; Image edge detection; Image processing; Optical fiber theory; Signal processing algorithms; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342257