In Proceedings of the XVII conference on astronomical data analysis software & systems (ADASS)
We present an implementation of V.O.-compliant web services built around software tools developed at the TERAPIX centre. These services allow to operate from a remote site several pipeline tasks dedicated to astronomical data processing on the TERAPIX cluster, including the latest EFIGI morphological analysis tool.
In Proceedings of the 21st symposium on signal and image processing (GRETSI)
In this paper a new algorithm to compute the component tree is presented. As compared to the state-of-the-art, this algorithm does not use excessive memory and is able to work efficiently on images whose values are highly quantized or even with images having floating values. We also describe how it can be applied to astronomical data to identify relevant objects.
In Proceedings of the IEEE international conference on image processing (ICIP)
In this paper a new algorithm to compute the component tree is presented. As compared to the state of the art, this algorithm does not use excessive memory and is able to work efficiently on images whose values are highly quantized or even with images having floating values. We also describe how it can be applied to astronomical data to identify relevant objects.
In Astronomical data analysis software and systems XV
We propose an automatic system to classify images of galaxies with varying resolution. Morphologically typing galaxies is a difficult task in particular for distant galaxies convolved by a point-spread function and suffering from a poor signal-to-noise ratio. In the context of the first phase of the project EFIGI (extraction of the idealized shapes of galaxies in imagery), we present the three steps of our software: cleaning, dimensionality reduction and supervised learning. We present preliminary results derived from a subset of 774 galaxies from the Principal Galaxies Catalog and compare them to human classifications made by astronomers. We use g-band images from the Sloan Digital Sky Survey. Finally, we discuss future improvements which we intend to implement before releasing our tool to the community.
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