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Proceedings Paper

Investigation of texture periodicity extraction
Author(s): Valery V. Starovoitov; Sang-Yong Jeong; Rae-Hong Park
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Paper Abstract

The structure extraction task is analyzed. The co-occurrence matrices (CMs) are the popular basis for this goal. We show that binary preparation of arbitrary texture preserves its structure. This transformation decreases the computation time of analysis and the required memory in dozens times. A number of features for detecting displacement vectors on binarized images are compared. We suggest to use CM elements jointly as the united feature for this goal. We have shown that it is a stable detector for noisy images and simpler than well- known (chi) 2 and (kappa) statistics.

Paper Details

Date Published: 21 April 1995
PDF: 12 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206792
Show Author Affiliations
Valery V. Starovoitov, Institute of Engineering Cybernetics (Belarus)
Sang-Yong Jeong, Sogang Univ. (South Korea)
Rae-Hong Park, Sogang Univ. (South Korea)

Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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