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 contribution||Gabor filters for rotation invariant texture classification|
|Title of host publication||Unknown|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||1193 - 1196|
|Publication status||Published - Jun 1997|
|Event||IEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97) - Hong Kong, China|
Duration: 1 Jun 1997 → …
|Conference||IEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97)|
|Period||1/06/97 → …|
Bibliographical noteConference Proceedings/Title of Journal: ISCAS
Rose publication type: Conference contribution
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