Fast determination of textural periodicity using distance matching function

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The periodicity of a texture is one of its important visual characteristics. The inertias of co-occurrence matrices of the texture have been often used to detect the visual periodicity. However, it is time-consuming to explicitly construct these matrices. In this paper, we propose the distance matching function to avoid constructing the matrices due to our new interpretation of an inertia. For a texture of size m x n, the inertias of all co-occurrence matrices can be obtained in O(mn log mn) time by simultaneously evaluating the function at all displacement vectors. This is a significant improvement over the previous method using the co-occurrence matrices, that requires O(m(2)n(2)) time. (C) 1999 Elsevier Science B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
1999-02
Language
English
Article Type
Article
Keywords

COOCCURRENCE MATRIX

Citation

PATTERN RECOGNITION LETTERS, v.20, no.2, pp.191 - 197

ISSN
0167-8655
URI
http://hdl.handle.net/10203/76949
Appears in Collection
CS-Journal Papers(저널논문)
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