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Title: GANALYZER: A TOOL FOR AUTOMATIC GALAXY IMAGE ANALYSIS

Abstract

We describe Ganalyzer, a model-based tool that can automatically analyze and classify galaxy images. Ganalyzer works by separating the galaxy pixels from the background pixels, finding the center and radius of the galaxy, generating the radial intensity plot, and then computing the slopes of the peaks detected in the radial intensity plot to measure the spirality of the galaxy and determine its morphological class. Unlike algorithms that are based on machine learning, Ganalyzer is based on measuring the spirality of the galaxy, a task that is difficult to perform manually, and in many cases can provide a more accurate analysis compared to manual observation. Ganalyzer is simple to use, and can be easily embedded into other image analysis applications. Another advantage is its speed, which allows it to analyze {approx}10,000,000 galaxy images in five days using a standard modern desktop computer. These capabilities can make Ganalyzer a useful tool in analyzing large data sets of galaxy images collected by autonomous sky surveys such as SDSS, LSST, or DES. The software is available for free download at http://vfacstaff.ltu.edu/lshamir/downloads/ganalyzer, and the data used in the experiment are available at http://vfacstaff.ltu.edu/lshamir/downloads/ganalyzer/GalaxyImages.zip.

Authors:
 [1]
  1. Department of Computer Science, Lawrence Technological University, 21000 West Ten Mile Road, Southfield, MI 48075 (United States)
Publication Date:
OSTI Identifier:
21578210
Resource Type:
Journal Article
Journal Name:
Astrophysical Journal
Additional Journal Information:
Journal Volume: 736; Journal Issue: 2; Other Information: DOI: 10.1088/0004-637X/736/2/141; Journal ID: ISSN 0004-637X
Country of Publication:
United States
Language:
English
Subject:
79 ASTROPHYSICS, COSMOLOGY AND ASTRONOMY; COMPUTER CODES; GALAXIES; IMAGE PROCESSING; PROCESSING

Citation Formats

Shamir, Lior, E-mail: lshamir@mtu.edu. GANALYZER: A TOOL FOR AUTOMATIC GALAXY IMAGE ANALYSIS. United States: N. p., 2011. Web. doi:10.1088/0004-637X/736/2/141.
Shamir, Lior, E-mail: lshamir@mtu.edu. GANALYZER: A TOOL FOR AUTOMATIC GALAXY IMAGE ANALYSIS. United States. doi:10.1088/0004-637X/736/2/141.
Shamir, Lior, E-mail: lshamir@mtu.edu. Mon . "GANALYZER: A TOOL FOR AUTOMATIC GALAXY IMAGE ANALYSIS". United States. doi:10.1088/0004-637X/736/2/141.
@article{osti_21578210,
title = {GANALYZER: A TOOL FOR AUTOMATIC GALAXY IMAGE ANALYSIS},
author = {Shamir, Lior, E-mail: lshamir@mtu.edu},
abstractNote = {We describe Ganalyzer, a model-based tool that can automatically analyze and classify galaxy images. Ganalyzer works by separating the galaxy pixels from the background pixels, finding the center and radius of the galaxy, generating the radial intensity plot, and then computing the slopes of the peaks detected in the radial intensity plot to measure the spirality of the galaxy and determine its morphological class. Unlike algorithms that are based on machine learning, Ganalyzer is based on measuring the spirality of the galaxy, a task that is difficult to perform manually, and in many cases can provide a more accurate analysis compared to manual observation. Ganalyzer is simple to use, and can be easily embedded into other image analysis applications. Another advantage is its speed, which allows it to analyze {approx}10,000,000 galaxy images in five days using a standard modern desktop computer. These capabilities can make Ganalyzer a useful tool in analyzing large data sets of galaxy images collected by autonomous sky surveys such as SDSS, LSST, or DES. The software is available for free download at http://vfacstaff.ltu.edu/lshamir/downloads/ganalyzer, and the data used in the experiment are available at http://vfacstaff.ltu.edu/lshamir/downloads/ganalyzer/GalaxyImages.zip.},
doi = {10.1088/0004-637X/736/2/141},
journal = {Astrophysical Journal},
issn = {0004-637X},
number = 2,
volume = 736,
place = {United States},
year = {2011},
month = {8}
}