Showing papers on "Range segmentation published in 1984"

TL;DR: A model-based approach to grey-tone image segmentation is presented, in which a variety of image models can be accommodated and some particularly relevant models are described in detail and illustrated by means of experimental results obtained with real-world images.

TL;DR: The chosen methods for image segmentation refer to an iterative binarization (level slicing) and to a region growing (local grey level evaluation) algorithm which generate segments characterized by features and attributes which represent a symbolic description and are the basis for the comparison of successive frames.