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Proceedings Paper

A solid texture analysis based on three-dimensional convolution kernels
Author(s): Motofumi T. Suzuki; Yoshitomo Yaginuma
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Paper Abstract

This paper describes techniques for analyzing 3D volume data by using extended Laws' convolution kernels. Laws' kernels are well known for 2D texture analysis, and have been used for various pattern recognition applications. Although typical Laws' convolution kernels are represented in 2D masks, we have extended the kernels to form 3D masks. The three dimensional extension of the masks allows a pattern recognition system to handle 3D volume data, whereas a traditional approach can handle only 2D image data. Also our approach can be extended for use with various lengths of kernels to generate multiple resolutions of masks. In our experiments, mask resolutions of 3 × 3 × 3, 5 × 5 × 5, 7 × 7 × 7, and 9 × 9 × 9 were tested.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6491, Videometrics IX, 64910W (29 January 2007); doi: 10.1117/12.705028
Show Author Affiliations
Motofumi T. Suzuki, National Institute of Multimedia Education (Japan)
Yoshitomo Yaginuma, National Institute of Multimedia Education (Japan)


Published in SPIE Proceedings Vol. 6491:
Videometrics IX
J.-Angelo Beraldin; Fabio Remondino; Mark R. Shortis, Editor(s)

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