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Proceedings Paper

Intelligent user interface for the detection of arbitrary shapes by mathematical morphology
Author(s): Michael E. Clarkson
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Paper Abstract

Work is underway on a rule—based expert system as the basis of an intelligent user interface for detecting arbitrary 2D shapes in images using mathematical morphology. This work builds on work done at the Ecole des Mines,1 and at the University of Washington,2 and is applicable to a wide range of vision tasks, including arbitrary shape detection, separation and segmentation problems. We address these tasks by defining an intermediate lexicon of 2D shape detection tasks, that can be carried out using the primitive operations of mathematical morphology. The expert system carries out a rule-based consultation with the user in order to express his vision task in terms of this lexicon. The graphical user interface prompts the user with textual or graphical menus, and at the end of the consultation, the system then generates the sequence of operations needed to accomplish the task.

Paper Details

Date Published: 1 June 1992
PDF: 12 pages
Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); doi: 10.1117/12.60634
Show Author Affiliations
Michael E. Clarkson, York Univ. (Canada) and Ecole Nationale Superieure des Mines de Paris (France)


Published in SPIE Proceedings Vol. 1769:
Image Algebra and Morphological Image Processing III
Paul D. Gader; Edward R. Dougherty; Jean C. Serra, Editor(s)

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