The operation segments an image into n classes using the fuzzy c means clustering algorithm.
Options
number of clusters: The number of clusters is the number of different segments in the result image. max. iterations.: The maximum number of iterations that the optimisation runs. fuzziness: The higher this value, the faster the algorithm converges. min quality: The minimal quality that must be
reached before the algorithm may be stopped because of the
quality change threshold. quality change threshold: The
algorithm stops when the change of the quality is less then the
threshold value and the min quality has already been reached.
Parameter
The only parameter is the input image.
Results
The only result is the result image. Each cluster is represented by a different number (0, 1, 2, ...) starting from 0.