|Title of host publication||Unknown|
|Publisher or commissioning body||Institute of Electrical and Electronics Engineers (IEEE)|
|Publication date||Jun 1997|
|Pages||1193 - 1196|
|Conference||IEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97)|
|Period||1/06/97 → …|
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.
Conference Proceedings/Title of Journal: ISCAS
Rose publication type: Conference contribution
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IEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97)
|Duration||1 Jun 1997 → …|