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Gabor filters for rotation invariant texture classification

RMS Porter, CN Canagarajah

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    13 Citations (Scopus)
    574 Downloads (Pure)

    Abstract

    A Gabor filter based feature extraction scheme for texture classification is proposed. By using a novel set of circularly symmetric filters, rotation invariance is achieved. The scheme offers a high classification performance on textures at any orientation using both fewer features and a smaller area of analysis than most existing schemes. The performance of the scheme on noisy images is also investigated, demonstrating a high robustness to noise.
    Translated title of the contributionGabor filters for rotation invariant texture classification
    Original languageEnglish
    Title of host publicationUnknown
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages1193 - 1196
    Volume2
    ISBN (Print)078033583X
    DOIs
    Publication statusPublished - Jun 1997
    EventIEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97) - Hong Kong, China
    Duration: 1 Jun 1997 → …

    Conference

    ConferenceIEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97)
    Country/TerritoryChina
    CityHong Kong
    Period1/06/97 → …

    Bibliographical note

    Conference Proceedings/Title of Journal: ISCAS
    Rose publication type: Conference contribution

    Terms of use: Copyright © 1997 IEEE. Reprinted from IEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97).

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