Mathematical Morphology: Star/Galaxy Differentiation & Galaxy Morphology Classification
نویسندگان
چکیده
منابع مشابه
Mathematical Morphology: Star/Galaxy Differentiation & Galaxy Morphology Classification
We present an application of Mathematical Morphology (MM) for the classification of astronomical objects, both for star/galaxy differentiation and galaxy morphology classification. We demonstrate that, for CCD images, 99.3 ± 3.8% of galaxies can be separated from stars using MM, with 19.4 ± 7.9% of the stars being misclassified. We demonstrate that, for photographic plate images, the number of ...
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We apply machine learning techniques to the problem of galaxy morphology classification. We use both supervised and unsupervised methods to study the Galaxy Zoo dataset of 61,578 pre-classified galaxies. After image pre-processing, we perform multi-class classification using the following algorithms: one-vs-all SVM with an RBF kernel, decision tree, random forest, AdaBoost classifier, and KNN. ...
متن کاملar X iv : a st ro - p h / 06 11 04 2 v 1 2 N ov 2 00 6 Mathematical Morphology : Star / Galaxy Differentiation & Galaxy Morphology Classification
We present an application of Mathematical Morphology (MM) for the classification of astronomical objects, both for star/galaxy differentiation and galaxy morphology classification. We demonstrate that, for CCD images, 99.3± 3.8% of galaxies can be separated from stars using MM, with 19.4± 7.9% of the stars being misclassified. We demonstrate that, for photographic plate images, the number of ga...
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ژورنال
عنوان ژورنال: Publications of the Astronomical Society of Australia
سال: 2006
ISSN: 1323-3580,1448-6083
DOI: 10.1071/as06010