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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1990 Plenum Press, New York
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-1-4613-0507-1_20
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-7841-2
Online ISBN: 978-1-4613-0507-1
eBook Packages: Springer Book Archive