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Proceedings Paper

Design of directional selection for three-dimensional complex discrete wavelet transform
Author(s): Takeshi Kato; Zhong Zhang; Hiroshi Toda; Takashi Imamura; Tetsuo Miyake; Yasuhiro Ishikawa
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Paper 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.

Paper Details

Date Published: 24 December 2013
PDF: 5 pages
Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906704 (24 December 2013); doi: 10.1117/12.2049683
Show Author Affiliations
Takeshi Kato, Toyohashi Univ. of Technology (Japan)
Zhong Zhang, Toyohashi Univ. of Technology (Japan)
Hiroshi Toda, Toyohashi Univ. of Technology (Japan)
Takashi Imamura, Toyohashi Univ. of Technology (Japan)
Tetsuo Miyake, Toyohashi Univ. of Technology (Japan)
Yasuhiro Ishikawa, Ishikawa Medical Clinic (Japan)


Published in SPIE Proceedings Vol. 9067:
Sixth International Conference on Machine Vision (ICMV 2013)
Branislav Vuksanovic; Antanas Verikas; Jianhong Zhou, Editor(s)

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