24 December 2013 Design of directional selection for three-dimensional complex discrete wavelet transform
Author Affiliations +
Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 906704 (2013) https://doi.org/10.1117/12.2049683
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom
Abstract
In this paper, we propose the novel design method of directional selection for three-dimensional complex discrete wavelet transform (3D-CDWT) (hereafter, all abbreviations will be written with capital letters). Previously, the complex discrete wavelet transform has been able to extract directional edges from images using the directional selection property. This can be applied to shape and texture analysis. However the angular range of each directional edge is still unclear and the angular ranges are fixed. Thus, it is difficult to be applied to image processing. Therefore, we firstly clarify the angular range of directional edges by using frequency characteristics. Secondly, we propose a design method for the angular range of directional edges with a desirable angular range. As a result, we can clarify the angular ranges of directional edges and it is possible to obtain the directional edges with arbitrary angular range.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takeshi Kato, Zhong Zhang, Hiroshi Toda, Takashi Imamura, Tetsuo Miyake, Yasuhiro Ishikawa, "Design of directional selection for three-dimensional complex discrete wavelet transform", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906704 (24 December 2013); doi: 10.1117/12.2049683; https://doi.org/10.1117/12.2049683
PROCEEDINGS
5 PAGES


SHARE
Back to Top