Superpixels Segmentation
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This algorithm generates an unsupervised oversegmentation of an image, based on the SLIC superpixel algorithm.

Input
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A single image or volume

Output
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A 16bit label map with the same size of the input. Optionally, if ``Export Simplified Image`` is true, a second image where the intensity of each pixel corresponds to the average intensity within its superpixels.

Description
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The algorithm is based on the method described in "SLIC Superpixels Compared to State-of-the-art Superpixel Methods" by Achanta et al. The standard parameters defined in this paper are ``Number of superpixels``, ``Max size of a superpixel``, ``Adaptiveness`` and ``Number of iterations``.

If the flag ``Random indices`` is set, the assigned labels will be shuffled, otherwise it will be in-order (which makes the visualization of the resulting label map less clear).

If the parameter ``Working Size`` is greater than zero, the superpixel detection will be performed on a subsample image such that its total number of pixels is equal to ``Working Size``. The superpixel segmentation will then be refined one last time at full resolution, unless ``Skip Refinement`` is set.