Titlebook: Image Analysis and Processing II; V. Cantoni,V. Gesù,S. Levialdi Book 1988 Plenum Press, New York 1988 Hough transform.Image segmentation.

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hauteur

Pattern Matching in Stringsidered as defining patterns in strings. It is the case for formal grammars and especially for regular expressions which provide a technique to specify simple patterns. Other kind of patterns on words may also be defined (see for instance [23], [4]) but lead to less efficient algorithms.

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A Knowledge Based Approach to Industrial Scenes Analysis: Shadows and Reflexes Detectionrtificial Intelligence techniques is tested; in fact procedural approaches exhibit several drawbacks such as lack of flexibility and of transparency in knowledge representation because knowledge is buried in code. A Knowledge-based system is proposed that is strictly interfaced with several low leve

Ferritin

The Fur Project: Understanding Functional Reasonings of function seems to be very common: in everyday language, for instance, objects are often referred to in terms of the function they provide (e.g. a “washing mashine”). In many cases a relation exists between function and shape, i.e. function can be inferred from structure and vice versa. Tools li

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A Knowledge Based Approach for Image Understandingerstanding task. Feigenbaum (1977) states that “..the power of an expert system derives from the knowledge it possesses not from the particular formalism and inference schemas it employs…”. In our opinion this assertion can be extended to all complex cognitive problems (such as natural language and

擴大

A Dynamic Programming Approach to Knowledge Based Contour Segmentation is adopted, in order to get stable results. Contours are described by curvature function. Angles are detected in a preliminary phase. Dynamic programming allows a fast approximation with straight lines and circle arcs. A simple rule based system is developed in order to choose the best approximatio

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Automatic Training in Statistical Pattern Recognitionach class. In order to be effective these training sets often must be rather large, for example of the order of 100 from each class. This training stage is sometimes very costly and can involve many hours of tedious labelling and editing work. The present paper proposes a way of greatly reducing or