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)
479 Downloads (Pure)


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
ISBN (Print)078033583X
Publication statusPublished - Jun 1997
EventIEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97) - Hong Kong, China
Duration: 1 Jun 1997 → …


ConferenceIEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97)
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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