Abstract
Feature selection is the set of operations whereby one selects a set of quantified attributes for the shape, contents, and texture of a given line, connected component, or region. That set of attributes may be the same or different for all components or regions in a given image. The calculation of the attributes is carried out by feature extraction procedures. All feature values of a given component or region are usually grouped into a vector (called feature vector), a string, or a tree, for further processing; these data structures may include geometry features as discussed in Sections 9.3, 9.4, and 20.2.
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© 1990 Plenum Press, New York
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Pau, L.F. (1990). Feature Extraction. In: Computer Vision for Electronics Manufacturing. Advances in Computer Vision and Machine Intelligence. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0507-1_20
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DOI: https://doi.org/10.1007/978-1-4613-0507-1_20
Publisher Name: Springer, Boston, MA
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