Towards automation of palynology 3: pollen pattern recognition using Gabor transforms and digital moments
| Autor: | S. Gunetileke, D. W. Fountain, R. M. Hodgson, Y. Zhang, J. R. Flenley |
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| Rok vydání: | 2004 |
| Předmět: |
Palynology
Artificial neural network business.industry Paleontology Pattern recognition Geometric shape Surface finish medicine.disease_cause Texture (geology) Moment (mathematics) Arts and Humanities (miscellaneous) Pollen Pattern recognition (psychology) Earth and Planetary Sciences (miscellaneous) medicine Artificial intelligence business Mathematics |
| Zdroj: | Journal of Quaternary Science. 19:763-768 |
| ISSN: | 1099-1417 0267-8179 |
| DOI: | 10.1002/jqs.875 |
| Popis: | The classification of pollen grains using texture information in combination with shape features is presented in this paper. The surface texture of pollen is characterised by using Gabor trans- forms, the geometric shape is described by using moment invariants, and the pollen grains are clas- sifiedby anartificial neural network.In anexperiment with fivetypes of pollengrains, more than 97% of samples are correctly classified. Copyright ! 2004 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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