Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, KL | en_US |
dc.contributor.author | Chen, LH | en_US |
dc.date.accessioned | 2014-12-08T15:42:51Z | - |
dc.date.available | 2014-12-08T15:42:51Z | - |
dc.date.issued | 2002-02-01 | en_US |
dc.identifier.issn | 0218-0014 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1142/S0218001402001526 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/29059 | - |
dc.description.abstract | In 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.iso | en_US | en_US |
dc.subject | regular texture | en_US |
dc.subject | texture primitive | en_US |
dc.subject | texture analysis and synthesis | en_US |
dc.subject | displacement vector | en_US |
dc.title | A new method for extracting primitives of regular textures based on wavelet transform | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1142/S0218001402001526 | en_US |
dc.identifier.journal | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | en_US |
dc.citation.volume | 16 | en_US |
dc.citation.issue | 1 | en_US |
dc.citation.spage | 1 | en_US |
dc.citation.epage | 25 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000174474700001 | - |
dc.citation.woscount | 5 | - |
Appears in Collections: | Articles |
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