Genetic algorithms in hypothesize-and-verify image interpretation

Milan Sonka; Satish K. Tadikonda; Steve M. Collins

doi:10.1117/12.150259

20 August 1993 Genetic algorithms in hypothesize-and-verify image interpretation

Milan Sonka, Satish K. Tadikonda, Steve M. Collins

Proceedings Volume 2059, Sensor Fusion VI; (1993) https://doi.org/10.1117/12.150259
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Milan Sonka, Satish K. Tadikonda, and Steve M. Collins "Genetic algorithms in hypothesize-and-verify image interpretation", Proc. SPIE 2059, Sensor Fusion VI, (20 August 1993); https://doi.org/10.1117/12.150259

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