Hierarchical Region Structures: A Method for Structuring Image Regions

Alianna J. Martin

doi:10.1117/12.950800

11 December 1985 Hierarchical Region Structures: A Method for Structuring Image Regions

Alianna J. Martin

Proceedings Volume 0579, Intelligent Robots and Computer Vision IV; (1985) https://doi.org/10.1117/12.950800
Event: 1985 Cambridge Symposium, 1985, Cambridge, United States

Abstract

The Hierarchical Region Structure (HRS) method successively clusters related image segments, and represents these clusters as a hierarchical tree-like structure. This approach organizes the segmented regions and enables improved interpretation and classification. One ot the major benefits of this approach is that a cluster of regions may be more readily matched and interpreted than the individual segments which comprise the cluster. Region relationships (proximity, similarity, containment, and similar orientation) are used as the basis for selecting which regions will be merged. Hierarchical representation of this relationship information, as well as traditional feature attribute information, provides a novel approach to representing information about segmented image regions.

Citation Download Citation

Alianna J. Martin "Hierarchical Region Structures: A Method for Structuring Image Regions", Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); https://doi.org/10.1117/12.950800

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