New texture signatures and their use in rotation invariant texture classification

Jianguo Zhang, Tieniu Tan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.
    Original languageEnglish
    Title of host publicationProceedings of Texture 2002
    Subtitle of host publicationthe 2nd international workshop on texture analysis and synthesis with ECCV 2002
    EditorsMike Chantler
    Place of PublicationEdinburgh
    PublisherHeriot-Watt University
    Pages157-162
    Number of pages6
    ISBN (Print)0901658995
    Publication statusPublished - 2002
    EventThe 2nd International Workshop on Texture Analysis and Synthesis - Copenhagen, Denmark
    Duration: 1 Jun 20022 Jun 2002

    Conference

    ConferenceThe 2nd International Workshop on Texture Analysis and Synthesis
    CountryDenmark
    CityCopenhagen
    Period1/06/022/06/02

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    Cite this

    Zhang, J., & Tan, T. (2002). New texture signatures and their use in rotation invariant texture classification. In M. Chantler (Ed.), Proceedings of Texture 2002: the 2nd international workshop on texture analysis and synthesis with ECCV 2002 (pp. 157-162). Edinburgh: Heriot-Watt University.
    Zhang, Jianguo ; Tan, Tieniu. / New texture signatures and their use in rotation invariant texture classification. Proceedings of Texture 2002: the 2nd international workshop on texture analysis and synthesis with ECCV 2002. editor / Mike Chantler. Edinburgh : Heriot-Watt University, 2002. pp. 157-162
    @inproceedings{14f566d3515144be9d5d1acd13c27d16,
    title = "New texture signatures and their use in rotation invariant texture classification",
    abstract = "In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.",
    author = "Jianguo Zhang and Tieniu Tan",
    year = "2002",
    language = "English",
    isbn = "0901658995",
    pages = "157--162",
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    booktitle = "Proceedings of Texture 2002",
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    Zhang, J & Tan, T 2002, New texture signatures and their use in rotation invariant texture classification. in M Chantler (ed.), Proceedings of Texture 2002: the 2nd international workshop on texture analysis and synthesis with ECCV 2002. Heriot-Watt University, Edinburgh, pp. 157-162, The 2nd International Workshop on Texture Analysis and Synthesis, Copenhagen, Denmark, 1/06/02.

    New texture signatures and their use in rotation invariant texture classification. / Zhang, Jianguo; Tan, Tieniu.

    Proceedings of Texture 2002: the 2nd international workshop on texture analysis and synthesis with ECCV 2002. ed. / Mike Chantler. Edinburgh : Heriot-Watt University, 2002. p. 157-162.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    T1 - New texture signatures and their use in rotation invariant texture classification

    AU - Zhang, Jianguo

    AU - Tan, Tieniu

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    N2 - In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.

    AB - In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.

    M3 - Conference contribution

    SN - 0901658995

    SP - 157

    EP - 162

    BT - Proceedings of Texture 2002

    A2 - Chantler, Mike

    PB - Heriot-Watt University

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    Zhang J, Tan T. New texture signatures and their use in rotation invariant texture classification. In Chantler M, editor, Proceedings of Texture 2002: the 2nd international workshop on texture analysis and synthesis with ECCV 2002. Edinburgh: Heriot-Watt University. 2002. p. 157-162