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Proceedings Paper

Genetic algorithms in hypothesize-and-verify image interpretation
Author(s): Milan Sonka; Satish K. Tadikonda; Steve M. Collins
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Paper Abstract

Image interpretation plays an important role in computer vision and robotics. We describe here a new approach to image understanding whose novel feature is that it integrates segmentation and interpretation into a single feedback process that incorporates contextual knowledge and uses a genetic algorithm technique to produce an optimal image interpretation. In this paper, we describe the principles of our approach, demonstrate its feasibility, and assess the accuracy of the proposed method using artificially-generated images.

Paper Details

Date Published: 20 August 1993
PDF: 12 pages
Proc. SPIE 2059, Sensor Fusion VI, (20 August 1993); doi: 10.1117/12.150259
Show Author Affiliations
Milan Sonka, Univ. of Iowa (United States)
Satish K. Tadikonda, Univ. of Iowa (United States)
Steve M. Collins, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 2059:
Sensor Fusion VI
Paul S. Schenker, Editor(s)

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