Investigation of texture periodicity extraction

Valery V. Starovoitov; Sang-Yong Jeong; Rae-Hong Park

doi:10.1117/12.206792

21 April 1995 Investigation of texture periodicity extraction

Valery V. Starovoitov, Sang-Yong Jeong, Rae-Hong Park

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206792
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

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.

Citation Download Citation

Valery V. Starovoitov, Sang-Yong Jeong, and Rae-Hong Park "Investigation of texture periodicity extraction", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206792

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