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Morphological Image Analysis pp 255–278Cite as

Classification

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Abstract

The most commonly used abstract model for pattern recognition is the classification model. This model contains three parts: a transducer, a feature extractor, and a classifier (Duda & Hart, 1973). The transducer senses the input and converts it to a form suitable for computer processing. The feature extractor extracts presumably relevant information from the input data. The classifier uses this information to assign the input data to one of a finite number of known categories or classes.

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Authors and Affiliations

  1. Silsoe Research Institute, Wrest Park, MK45 4HS, Silsoe Bedfordshire, UK

    Dr. Ir. habil. Pierre Soille

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  1. Dr. Ir. habil. Pierre Soille
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© 1999 Springer-Verlag Berlin Heidelberg

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Soille, P. (1999). Classification. In: Morphological Image Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03939-7_10

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  • DOI: https://doi.org/10.1007/978-3-662-03939-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-03941-0

  • Online ISBN: 978-3-662-03939-7

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