/*!

@mainpage SPoCA

@version 3.0

@authors
Benjamin Mampaey benjamin.mampaey@oma.be
Cis Verbeeck cis.verbeeck@oma.be
Véronique Delouille veronique.delouille@oma.be

\section intro_sec Introduction

SPoCA stands for Spatial Possibilistic Classification Algorithm.

It's a multi-channel unsupervised spatially-constrained fuzzy clustering algorithm.

It's purpose is to segment Extreme Ultra Violet (EUV) images of the sun into 3 categories: Quiet Sun (QS), Active Region (AR) and Coronal Hole (CH)

\section history_sec History

The software was first developed by Vincent Barra in 2007.

It has been completely rewritten by Benjamin Mampaey starting in 2009, and has been in development since.

It received several improvements, with the help of Cis Verbeeck and Véronique Delouille.

\section references_sec References

- [1] Barra, V., Delouille, V., Hochedez, J.-F., & Chainais, P. : 2005 `Segmentation of EIT Images Using Fuzzy Clustering: a Preliminary Study', ESA Special Publication, 600, 77.1.
- [2] Barra V., Delouille V., Hochedez J.-F. : 2008 `Segmentation of extreme ultraviolet solar images via multichannel fuzzy clustering', Advances in Space Research, 42, 917--925.
- [3] Barra V., Delouille V., Kretzschmar M., Hochedez J.-F. : 2009 `Fast and robust segmentation of solar EUV images: algorithm and results for solar cycle 23', A&A, 505(1), 2009, 361--371
- [4] V. Barra, V. Delouille, and J.-F. Hochedez : 2009 `Segmentation, Tracking and Characterization of Solar Features from EIT Solar Corona Images', Lecture Notes in Computer Science, Volume 5575/2009, 199--208,
- [5] Verbeeck, C., Delouille, V., Mampaey, B., De Visscher, R. : 2014 `The SPoCA-suite: Software for extraction, characterization, and tracking of active regions and coronal holes on EUV images', Astronomy and Astrophysics 561.


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The following is only for Automatic documentation generation.
/*!
@page programs Programs
List of programs and utilities included in SPoCA.
<BR>@subpage classification
<BR>@subpage attribution
<BR>@subpage get_AR_map
<BR>@subpage get_CH_map
<BR>@subpage tracking
<BR>@subpage get_regions_stats
<BR>@subpage get_segmentation_stats
<BR>@subpage get_STAFF_stats
<BR>@subpage get_SOLID_stats
<BR>@subpage fits2png
<BR>@subpage map2png
<BR>@subpage overlay

*/