This method uses the fuzzy k-means method to classify each pixel in the image or selected region into clusters. The pixel is then set to black or white depending on which category it falls into.
This feature is still under development. Currently only the two cluster case is considered, and classification is only performed on the basis of pixel intensity. This is primarily useful in spot densitometry. Future versions of tnimage will use fuzzy cluster analysis to identify image features.