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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6001940