DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, G | ko |
dc.contributor.author | Lee, S | ko |
dc.contributor.author | Shin, Sung-Yong | ko |
dc.date.accessioned | 2013-03-03T03:16:56Z | - |
dc.date.available | 2013-03-03T03:16:56Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1999-02 | - |
dc.identifier.citation | PATTERN RECOGNITION LETTERS, v.20, no.2, pp.191 - 197 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | http://hdl.handle.net/10203/76949 | - |
dc.description.abstract | 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. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | COOCCURRENCE MATRIX | - |
dc.title | Fast determination of textural periodicity using distance matching function | - |
dc.type | Article | - |
dc.identifier.wosid | 000078622100008 | - |
dc.identifier.scopusid | 2-s2.0-0033076119 | - |
dc.type.rims | ART | - |
dc.citation.volume | 20 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 191 | - |
dc.citation.endingpage | 197 | - |
dc.citation.publicationname | PATTERN RECOGNITION LETTERS | - |
dc.contributor.localauthor | Shin, Sung-Yong | - |
dc.contributor.nonIdAuthor | Oh, G | - |
dc.contributor.nonIdAuthor | Lee, S | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | texture | - |
dc.subject.keywordAuthor | patterns | - |
dc.subject.keywordAuthor | periodicity | - |
dc.subject.keywordAuthor | inertia | - |
dc.subject.keywordAuthor | co-occurrence matrix | - |
dc.subject.keywordAuthor | distance matching function | - |
dc.subject.keywordPlus | COOCCURRENCE MATRIX | - |
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