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 and possibly to improve their Intelligent Quotient. Aim of this paper is to describe the applicability of soft-computing to early vision problems. The good performance of this approach is claimed by the fact that digital images are examples of fuzzy entities, where geometry of shapes are not always describable by exact equations and their approximation can be very complex.
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Di Gesù, V. (2002). Early Vision and Soft Computing. In: Cantoni, V., Marinaro, M., Petrosino, A. (eds) Visual Attention Mechanisms. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0111-4_2
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DOI: https://doi.org/10.1007/978-1-4615-0111-4_2
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