Abstract
All the contours and regions of objects can be mapped to code-trees of the Hierarchical Structure Code (HSC). Invariant features like structure classes, shape descriptions, or relations between structures and components may be easily extracted from the HSC. HSC-based pattern recognition provides a straightforward transition between the signal-space of the image and the space of its symbolic representation. Physiological data are well predicted and do not exclude an implementation of an HSC-based system within the visual cortex.
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Hartmann, G. Recognition of Hierarchically encoded images by technical and biological systems. Biol. Cybern. 57, 73–84 (1987). https://doi.org/10.1007/BF00318717
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DOI: https://doi.org/10.1007/BF00318717