DocumentCode
3027799
Title
Edge detection approach based on directionlet transform
Author
Bai, Jing ; Zhou, Huaji
Author_Institution
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China
fYear
2011
fDate
26-28 July 2011
Firstpage
3512
Lastpage
3515
Abstract
Due to possessing the multi-direction anisotropic basis functions, directionlet transform can capture the inherent geometrical feature of the image. A directionlet transform -based edge detection approach is proposed in this paper. In the approach, we filter along any two directions with two slopes to capture abundant edge information. In addition, we use the multiscale characteristics of directionlet transform. Combine the advantage of small and large scales to get the desirable edge. The experiments indicate that the proposed approach outperforms wavelet and any other traditional approaches.
Keywords
computational geometry; edge detection; transforms; directionlet transform; edge detection; image geometrical feature; multidirection anisotropic basis function; multiscale characteristic; Feature extraction; Generators; Image edge detection; Noise; Wavelet analysis; Wavelet transforms; Directionlet transform; edge detection; multiscale;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001940
Filename
6001940
Link To Document