Experimental image segmentation using Lab k-means clustering.
- k-means clustering module
- k-means cluster image pixels based on euclidian distance of
a
andb
values (directly proportional to visual similarity) - optimize k-means algorithm with cuda
- find segmentation borders based on pixel centroids