Abstract
Textile motifs such as Batik and Songket are com- mon native textile design throughout South East Asia, and are of- ten imbued with cultural and spiritual meanings. However despite its cultural importance, automatic classification and retrieval work based on design motifs are not extensive. Previous work based on texture classification methods have proved successful but uses over 700 attributes. We show in this work that the number of attributes can be reduced down to 2% without significantly reducing the classification rate. This indicates that with the appropriate attribute reduction, fast recognition and classification of Batik and Songket textiles can be achieved.
Original language | English |
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Title of host publication | ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings |
Pages | 257-261 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2009 |
Event | IEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009 - Kuala Lumpur Malaysia, Kuala Lumpur, Malaysia Duration: 1 Jan 2009 → 19 Nov 2009 |
Conference
Conference | IEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009 |
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Abbreviated title | ICSIPA 2009 |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 1/01/09 → 19/11/09 |