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H.._.ierarchical S. cene Structures (HSS) can be used to represent the perceptual structures found in segmented images which arise from inter-region relationships between the image segments. These relationships include continuation of boundaries, proximity, enclosure, and similarity of shape, intensity, size, and directionality. Our prototype system for HSS creation works with a subset of three of these relationships; proximity, similarity, and continuation. Incorporating this perceptual organizing information into a structured, symbolic scene representation strongly increases the available information about the scene. This information can be used to improve pattern recognition, and extensions may address problems in 3-D modeling, multi-temporal correlations, and multisensor information fusion. 1.0 INTRODUCTION AND PROBLEM STATEMENT Research in machine and biological vision, aided by recent results in the fields of perception, parallel processing, neural networks, and knowledge-based systems, has made it possible to conceptualize the major issues in machine vision in terms of crucial transitions between representation levels in visual systems. The most significant ones are the:

Hierarchical scene structure representations to facilitate image understanding