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Classifying textile designs using bags of shapes

Classifying textile designs using bags of shapes

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Original languageEnglish
Title of host publication2010 20th International Conference on Pattern Recognition, ICPR 2010
Subtitle of host publicationproceedings
Place of PublicationPiscataway
PublisherIEEE Computer Society
Pages294-297
Number of pages4
ISBN (Print)9780769541099
DOIs
StatePublished - 2010
Event20th International Conference on Pattern Recognition - Istanbul, Turkey

Publication series

NameInternational Conference on Pattern Recognition
PublisherIEEE Computer Society
ISSN (Print)1051-4651

Conference

Conference20th International Conference on Pattern Recognition
Abbreviated titleICPR 2010
CountryTurkey
CityIstanbul
Period23/08/1026/08/10

Abstract

The use of region shape descriptors was investigated for categorisation of textile design images. Images were segmented using MRF pixel labelling and the shapes of regions obtained were described with generic Fourier descriptors. Each image was represented as a bag of shapes. A simple yet competitive classification scheme based on nearest neighbour class-based matching was used. Classification performance was compared to that obtained when using bags of SIFT features. © 2010 IEEE.

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