Abstract
In this work, pattern-based classification will be governed by the selection of a motif set that is a generator for a set pattern. A motif set pattern serves as a representative of a class of images and also makes it possible to identify salient test images. A test image is salient, provided it has a set pattern that is descriptively close enough to the class set pattern.
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© 2014 Springer-Verlag Berlin Heidelberg
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Peters, J.F. (2014). Pattern-Based Picture Classification. In: Topology of Digital Images. Intelligent Systems Reference Library, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53845-2_12
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DOI: https://doi.org/10.1007/978-3-642-53845-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53844-5
Online ISBN: 978-3-642-53845-2
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