Automatic morphological classification of galaxy images

机译：银河图像的自动形态分类

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摘要

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 informative features are selected using Fisher scores. Test images can then be classified using a simple Weighted Nearest Neighbor rule such that the Fisher scores are used as the feature weights. Experimental results show that galaxy images from Galaxy Zoo can be classified automatically to spiral, elliptical and edge-on galaxies with accuracy of ~90% compared to classifications carried out by the author. Full compilable source code of the algorithm is available for free download, and its general-purpose nature makes it suitable for other uses that involve automatic image analysis of celestial objects.

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期刊名称 other
作者
Lior Shamir;
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作者单位

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年(卷),期 -1(399),3
年度 -1
页码 1367–1372
总页数 24
原文格式 PDF
正文语种
中图分类
关键词
Methods data analysis – Techniques image processing;

机译：方法;数据分析–技术;图像处理;

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专利

1. A robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images - II. Quantifying morphological k-correction in the COSMOS field at 1 < $z$ < 2: Ks?band vs. I?band [J] . M. Huertas-Company, L. Tasca, D. Rouan, Astronomy and astrophysics . 2009,第24期

机译：使用支持向量机在有限的图像上对高红移星系进行稳健的形态分类-II。在COSMOS字段中以1 <$ z $ <2：量化Ks带与I带的量化k校正
2. Automatic approach to solve the morphological galaxy classification problem using the sparse representation technique and dictionary learning [J] . Diaz-Hernandez R., Ortiz-Esquivel A., Peregrina-Barreto H., Experimental astronomy . 2016,第3期

机译：利用稀疏表示技术和字典学习自动解决形态学星系分类问题
3. Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images [J] . YoshikoYamashita, TomoharuKiyuna, MichiieSakamoto, Cellular Oncology: Analytical Cellular Pathology . 2014,第1a2期

机译：基于在整个幻灯片图像中自动测量的形态特征的肝细胞癌分类原型的开发
4. MATHEMATICAL MORPHOLOGY APPLIED TO THE SEGMENTATION AND CLASSIFICATION OF GALAXIES IN MULTISPECTRAL IMAGES [C] . E. Aptoula, S. Lef`evre, C. Collet European Signal Processing Conference;EUSIPCO . 2006

机译：数学形态学应用于多光谱图像中星系的分割和分类
5. Galaxy image processing and morphological modeling: Applications to understanding galaxy formation and evolution. [D] . Hyde, Joseph B. 2009

机译：星系图像处理和形态建模：了解星系形成和演化的应用。
6. Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images [O] . Yoshiko Yamashita, Tomoharu Kiyuna, Michiie Sakamoto, 2014

机译：基于在整个幻灯片图像中自动测量的形态特征的肝细胞癌分类原型的开发
7. Automatic morphological classification of galaxy images [O] . Shamir, Lior 2009

机译：星系图像的自动形态分类

Automatic morphological classification of galaxy images

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