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Automatic morphological classification of galaxy images
We describe an image analysis supervised learning algorithm that can automatically classify galaxy images. The algorithm is first trained using a manually classified images of elliptical, spiral, and edge-on galaxies. A large set of image features is extracted from each image, and the most informati...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2808694/ https://ncbi.nlm.nih.gov/pubmed/20161594 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1365-2966.2009.15366.x |
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