psimplelineariterativeclustering

Performs superpixel segmentation.

Synopsis

psimplelineariterativeclustering k m [-m mask] [im_in|-] [rg_out|-]

Description

The psimplelineariterativeclustering operator segmets the input image into superpixels. The algorithm clusters pixels in the combined five-dimensional color and image plane space to generate compact, nearly uniform superpixels.

The result is the region map rg_out.

Parameters

k is the desired number of superpixels. Default is 200.
m is the compactness factor. It is a value ranging from 10 to 40. Default is 10.

Inputs

im_in: a 2D color image.

Outputs

rg_out: a region map.

Result

Returns the number of regions or FAILURE.

Examples

Segments the tangram pieces:

  psimplelineariterativeclustering 500 20 examples/tangram.pan a.pan

C++ prototype

Errc PSimpleLinearIterativeClustering( const Imc2duc &ims, Imc2duc &imd, int k, float m );

Reference

"SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Susstrunk. EPFL Technical Report no. 149300, June 2010.