derlando / imageclustering Goto Github PK

Instead of implementing k-means clustering on the pixels of an image itself, it is far more efficient to cluster the image in superpixels first and operate on those in further steps.

I found a nice and easy algorithm for this: https://infoscience.epfl.ch/record/149300/files/SLIC_Superpixels_TR_2.pdf

The basic idea is to use an initial k-means clustering on the image pixels in the 5-dimensional xylab space. For this we need to be able to convert standard rgb to CIELAB.

• implement rgb to cielab conversion
• implement super pixel clustering