Soft Computing in Image Analysis

摘要

For over four decades, researchers in the area of image analysis have developed numerous methods and systems, many of which based on probabilistic paradigms, such as the well-known Bayesian decision rule and evidence-based decision-making systems. The main assumption is that physical laws are ruled by Aristotelic logic; in other words they arise from a crisp-world assumption. Anyway, this assumption is not always true in the physical world; as a matter of fact, crisp assumptions work for some problems, while they fails miserably whenever imprecision and accuracy are not following probabilistic rules.