---
title: "A Goal-Directed Intermediate Level Executive for Image Interpretation"
authors:
  - "Charles A. Kohl"
  - "Allen R. Hanson"
  - "Edward M. Riseman"
doi: ""
url: "https://ijcai.org/proceedings/1987/168"
pdf: "https://ijcai.org/proceedings/1987/0168.pdf"
venue: "Proceedings of the Tenth International Joint Conference on Artificial Intelligence"
year: 1987
pages: "811-813"
track: "Perception"
keywords:
---

# A Goal-Directed Intermediate Level Executive for Image Interpretation

Charles A. Kohl, Allen R. Hanson, Edward M. Riseman

*Proceedings of the Tenth International Joint Conference on Artificial Intelligence*, pages 811-813.

## Abstract

GOLDIE is a system that has been developed to provide the top-down control of the low and intermediate level processes that create and modify the intermediate-level descriptions of image data used in image interpretation. The basic control structure of GOLDIE is the schema, a declarative specification of control strategies invoked in response to a request (goaQ for a particular form of intermediate-level data. Using this control paradigm, high-level interpretation processes gain the ability to create or refine the intermediate-level data according to predefined goals and/or current hypotheses during interpretation. A variety of schemas for tasks such as region segmentation, line extraction, collinear line grouping, and line-based segmentation are currently implemented within the GOLDIE system.