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Proceedings Paper

Hierarchical Region Structures: A Method for Structuring Image Regions
Author(s): Alianna J. Martin
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Paper 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.

Paper Details

Date Published: 11 December 1985
PDF: 7 pages
Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950800
Show Author Affiliations
Alianna J. Martin, Honeywell Systems and Research Center (United States)

Published in SPIE Proceedings Vol. 0579:
Intelligent Robots and Computer Vision IV
David P. Casasent, Editor(s)

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