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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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Autor principal: Shamir, Lior
Format: Artigo
Idioma:Inglês
Publicat: 2009
Matèries:
Accés en línia: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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