An Automatic Method to Determine the Degree of Flocculence of a Galaxy

Details An Automatic Method to Determine the Degree of Flocculence of a Galaxy An Automatic Method to Determine the Degree of Flocculence of a Galaxy

Aug 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..394..497d&link_type=abstract

Astronomical Data Analysis Software and Systems ASP Conference Series, Vol. 394, Proceedings of the conference held 23-26 Septem

Computer Science

Learning

Scientific paper

We propose a new method to determine the flocculence of a galaxy image. Flocculence is characterized by a texture feature computed using a bank of Gabor filters. These filters, inspired by the human visual system, uniformly cover the spatial-frequency domain. Texture features are obtained by extracting statistics from sub-windows in the filtered images. Flocculent regions are then detected using a machine learning approach. First results are presented on the EFIGI dataset.

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