Classifying textile designs using bags of shapes

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    5 Citations (Scopus)

    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.
    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
    Publication statusPublished - 2010
    Event20th International Conference on Pattern Recognition - Istanbul, Turkey
    Duration: 23 Aug 201026 Aug 2010

    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

    Keywords

    • Markov random field
    • Classification
    • Region segmentation
    • Shape descriptors
    • Textile design

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  • Cite this

    Jia, W., & McKenna, S. J. (2010). Classifying textile designs using bags of shapes. In 2010 20th International Conference on Pattern Recognition, ICPR 2010: proceedings (pp. 294-297). (International Conference on Pattern Recognition). IEEE Computer Society. https://doi.org/10.1109/ICPR.2010.81