Dentomaxillofacial Radiology, Vol 21, Issue 4 184-189, Copyright © 1992 by British Institute of Radiology
An introduction to model-based imaging
S. M. Dunn
Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey.
The purpose of this paper is to clarify the distinction between the
recognition of form, i.e. pattern recognition, and the interpretation of
visual scenes, i.e. image understanding. Pattern recognition is part of
image understanding, but the latter also includes cognitive tasks such as
learning and inference. The key to developing image-understanding systems
is to concentrate on the representation and use of models. This paper is a
brief outline of the components of a model-based image-understanding
system. First, the notions of iconic, categorical and symbolic knowledge
are described. Although they appear to be disparate, the common notion is
that the image understanding is based on recognizing concepts and not
recognizing form. Next, the notion of a concept is defined, followed by
representation techniques and control strategies for using concepts. Last,
an example is given of an image-understanding system that learns to
recognize concepts such as radiographic projections of teeth in panoramic
radiographs.
