Efficient textile recognition via decomposition of co-occurrence matrices

Kar Seng Loke, Marc Cheong

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

11 Citations (Scopus)

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 languageEnglish
Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages257-261
Number of pages5
DOIs
Publication statusPublished - 2009
EventIEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009 - Kuala Lumpur Malaysia, Kuala Lumpur, Malaysia
Duration: 1 Jan 200919 Nov 2009

Conference

ConferenceIEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2009
Abbreviated titleICSIPA 2009
Country/TerritoryMalaysia
CityKuala Lumpur
Period1/01/0919/11/09

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