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Some algorithms produce an indexed image as output. In such images,
each pixel is given a value according to the region number it belongs to.
This value starting at 0 or 1 is usually an integer value.
Often, such images are produced by segmentation or classification algorithms.
If such regions are easy to manipulate -- it is easier and faster to compare two integers
than a RGB value -- it is different when it comes to displaying the results.
Here we present a convient way to convert such indexed image to a color image. In
such conversion, it is important to ensure that neighboring regions, which are
likely to have consecutive number have easily dicernable colors. This is done
randomly using a hash function by ``ScalarToRGBPixelFunctor``.
.. |image1| image:: /Output/buildingExtractionIndexed_scaled.png
.. |image2| image:: /Output/buildingExtractionRGB.png
.. _Figure1:
+--------------------------+-------------------------+
| |image1| | |image2| |
+--------------------------+-------------------------+
The original indexed image (left) and the conversion to color image.
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