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 contribution | Gabor filters for rotation invariant texture classification |
|---|---|
| Original language | English |
| Title of host publication | Unknown |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1193 - 1196 |
| Volume | 2 |
| ISBN (Print) | 078033583X |
| DOIs | |
| Publication status | Published - Jun 1997 |
| Event | IEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97) - Hong Kong, China Duration: 1 Jun 1997 → … |
Conference
| Conference | IEEE International Symposium on Circuits and Systems, 1997 (ISCAS '97) |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 1/06/97 → … |
Bibliographical note
Conference Proceedings/Title of Journal: ISCASRose 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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