DocumentCode :
2563472
Title :
Efficient textile recognition via decomposition of co-occurrence matrices
Author :
Loke, Kar-Seng ; Cheong, Marc
Author_Institution :
Sch. of IT, Monash Univ., Bandar Sunway, Malaysia
fYear :
2009
fDate :
18-19 Nov. 2009
Firstpage :
257
Lastpage :
261
Abstract :
Textile motifs such as Batik and Songket are common native textile design throughout South East Asia, and are often 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.
Keywords :
CAD; image recognition; image retrieval; production engineering computing; textile technology; co-occurrence matrix decomposition; content-based image retrieval; design motifs; image recognition; textile design; textile motifs; textile recognition; Art; Cultural differences; History; Image recognition; Java; Matrix decomposition; Pattern recognition; Polynomials; Signal processing; Textiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5560-7
Type :
conf
DOI :
10.1109/ICSIPA.2009.5478606
Filename :
5478606
Link To Document :
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