A cluster analysis program for image segmentation
Melvin F. Janowitz · Defense Technical Information Center (DTIC) · 1982
It is shown how the ordinal image segmentation problem fits into an earlier well-developed model for hierarchical clustering. Certain techniques suggested by this model are investigated and implemented on real data. The results are compared to those achieved by segmentation techniques that involve region mergers based on various notions of scatter. The techniques are examined from both an order theoretic and statistical viewpoint.