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dc.contributor.authorLee, KLen_US
dc.contributor.authorChen, LHen_US
dc.date.accessioned2014-12-08T15:42:51Z-
dc.date.available2014-12-08T15:42:51Z-
dc.date.issued2002-02-01en_US
dc.identifier.issn0218-0014en_US
dc.identifier.urihttp://dx.doi.org/10.1142/S0218001402001526en_US
dc.identifier.urihttp://hdl.handle.net/11536/29059-
dc.description.abstractIn this paper, a new method for extracting primitives of a regular texture via wavelet transform is provided. Each primitive is restricted to be a parallelogram. The main work of the proposed method is to extract the two displacement vectors that form the primitive of a regular texture. A contrast-based criterion is used to select appropriate subimages obtained from wavelet transform for detecting displacement vectors. An edge thresholding method is then performed on the subimages selected to locate edges. Based on these edges, Hough transform is applied to extract the displacement vectors. The proposed method is quite efficient and can get more accurate results for displacement vectors when comparing to traditional co-occurrence matrix based methods. Synthesized textures are provided to show the effectiveness of the proposed method.en_US
dc.language.isoen_USen_US
dc.subjectregular textureen_US
dc.subjecttexture primitiveen_US
dc.subjecttexture analysis and synthesisen_US
dc.subjectdisplacement vectoren_US
dc.titleA new method for extracting primitives of regular textures based on wavelet transformen_US
dc.typeArticleen_US
dc.identifier.doi10.1142/S0218001402001526en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCEen_US
dc.citation.volume16en_US
dc.citation.issue1en_US
dc.citation.spage1en_US
dc.citation.epage25en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000174474700001-
dc.citation.woscount5-
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