Introduction
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:bold-smallcaps:`disccofan` (Distributed Connected Component Filtering and Analysis) is an advanced image processing tool designed for morphological and pattern analysis in 2-D and 3-D data sets. It is optimized to efficiently handle giga- and tera-scale data sets through extensive parallelization using OpenMP and OpenMPI.

This documentation provides comprehensive instructions on installing, using, and leveraging the full potential of :bold-smallcaps:`disccofan`.

:bold-smallcaps:`disccofan` has been featured in several scientific publications within Computer Science journals. If you utilize :bold-smallcaps:`disccofan` in your work, please ensure you cite the following paper:

- `Distributed Connected Component Filtering and Analysis in 2D and 3D Tera-Scale Data Sets <https://ieeexplore.ieee.org/document/9376636>`_ Simon Gazagnes and Michael H.F. Wilkinson.

For further details on the techniques implemented in :bold-smallcaps:`disccofan`, you may also acknowledge the following papers if you're enhancing or comparing similar methodologies:

- `Distributed Component Forests in 2-D: Hierarchical Image Representations Suitable for Tera-Scale Images <https://www.worldscientific.com/doi/10.1142/S0218001419400123?srsltid=AfmBOorzh_s6u-6cin0VpWfJYVFr3kvkKw8Chr1SxBPhBGWghmRcXMPG>`_
- `Parallel Attribute Computation for Distributed Component Forests <https://ieeexplore.ieee.org/document/9897660>`_