Artificial Vision and Soft Computing

Article type: Research Article

Authors: Gesù, Vito Di

Affiliations: Dipartimento di Matematica ed Applicazioni, University of Palermo Palermo, Italy. digesu@dipmat.math.unipa.it

Note: [] Address for correspondence: Dipartimento di Matematica ed Applicazioni, University of Palermo, Palermo Italy

Abstract: The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. For example, it can be used to introduce flexibility in artificial systems to improve their Intelligent Quotient. The aim of this paper is to describe the applicability of soft-computing to artificial vision problems. Good performance of this approach is assured by the fact that digital images are examples of fuzzy entities, where shapes are not always describable by exact equations and their approximation can be very complex.

Keywords: computer vision, soft computing, fuzzy sets, mathematical morphology, image segmentation

DOI: 10.3233/FI-1999-371206

Journal: Fundamenta Informaticae, vol. 37, no. 1-2, pp. 101-119, 1999