Abstract
The central theme of this paper is the use of non-numerical methods for image analysis. It is proposed that the logic programming language Prolog is a suitable tool for this purpose. A Prolog program consists of a set of facts and rules. New facts can be deduced by the inbuilt inference mechanism. In contrast to classical programming it is necessary to consider the objects of the domain of investigation and the relationships between them. A set of rules is derived heuristically for the classification of myocardial scintigrams. Fuzzy logic and probability theory are then applied in a Prolog program to the problem of prediction of coronary artery anatomy from a given scintigraphic pattern. A generative grammar has been written in Prolog to either analyse or produce coded scintigraphic patterns.
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© 1986 Martinus Nijhoff Publishers, Dordrecht
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Rosenberg, S., Itti, R., Benjelloun, L. (1986). Prolog for Symbolic Image Analysis. In: Bacharach, S.L. (eds) Information Processing in Medical Imaging. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4261-5_8
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DOI: https://doi.org/10.1007/978-94-009-4261-5_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8392-8
Online ISBN: 978-94-009-4261-5
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