Abstract
The Hierarchical Structure Code (HSC) provides a transition between the signal space of a gray-scale image and the space of symbolic description. Continuous objects are mapped to code-trees of the HSC-network by hierarchical linking operations. The HSC-network is controlled by a system of inhibition mechanisms, extracting invariant features from the code trees. Extracted features are compared with modelled features in the knowledge base.
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References
/l/ Hartmann, G. : Recognition of Hierarchically Encoded Images by Technical and Biological Systems, Biol. Cybern. 57, 73–84(1987)
/2/ Hartmann, G. : Recursive Features of Circular Receptive Fields, Biolog. Cybern. 43, 199–208(1982)
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© 1989 Springer-Verlag Berlin Heidelberg
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Hartmann, G. (1989). Mapping Images to a Hierarchical Data Structure — A Way to Knowledge-Based Pattern Recognition. In: Eckmiller, R., v.d. Malsburg, C. (eds) Neural Computers. Springer Study Edition, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83740-1_11
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DOI: https://doi.org/10.1007/978-3-642-83740-1_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-50892-2
Online ISBN: 978-3-642-83740-1
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