| Autor: |
Chenhui Yang, Qiaoqi Luo, Jinfei Luo, Yuanhao Gong, Yahui Gao, Lin Kang |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
2010 4th International Conference on Bioinformatics and Biomedical Engineering. |
| ISSN: |
2151-7614 |
| DOI: |
10.1109/icbbe.2010.5517750 |
| Popis: |
Marine phytoplanktons are unicellular algae with a variety of shapes and ornamentation, and they are widely used as indicators of marine ecosystem changes. A dual layer and hybrid classifier is presented in this study for phytoplankton recognition. The method is based on k-NN, SVM mechanisms and uses shape and texture information such as moments, geometric features and gray level co-occurrence matrix features. Each individual classifier has its own specific input feature and decision mechanism. The marine phytoplankton recognition experiment shows that the proposed classification method outperforms two well-known stand-alone classifiers, k-NN and SVM. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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