Two methods of segmentation called the Histogram Optimization Segmentation and the Histogram Compression Segmentation are presented. These algorithms use local histograms in a recursive manner to arrive at a self-consistent segmentation. The first two sections explain the specific operation of the algorithms and the last section examines the validity of one of the segmentation criteria. Examples of the segmentations are also given.
Greg A. Roberts, Greg A. Roberts,
"The Histogram Optimization And Histogram Compression Segmentations", Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); doi: 10.1117/12.935341; https://doi.org/10.1117/12.935341