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Gabor filters for rotation invariant texture classification

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

Original languageEnglish
Title of host publicationUnknown
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages1193 - 1196
ISBN (Print)078033583X
StatePublished - Jun 1997


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


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.

Additional information

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). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.


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

Duration1 Jun 1997 → …
CityHong Kong

Event: Conference





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