A solid texture analysis based on three-dimensional convolution kernels

Motofumi T. Suzuki; Yoshitomo Yaginuma

doi:10.1117/12.705028

29 January 2007 A solid texture analysis based on three-dimensional convolution kernels

Motofumi T. Suzuki, Yoshitomo Yaginuma

Proceedings Volume 6491, Videometrics IX; 64910W (2007) https://doi.org/10.1117/12.705028
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Motofumi T. Suzuki and Yoshitomo Yaginuma "A solid texture analysis based on three-dimensional convolution kernels", Proc. SPIE 6491, Videometrics IX, 64910W (29 January 2007); https://doi.org/10.1117/12.705028

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