Conference proceeding
Genetic algorithms in hypothesize-and-verify image interpretation
Proceedings of SPIE, Vol.2059(1), pp.236-247
Sensor Fusion VI
08/20/1993
DOI: 10.1117/12.150259
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.
Details
- Title: Subtitle
- Genetic algorithms in hypothesize-and-verify image interpretation
- Creators
- Milan Sonka - Univ. of Iowa (USA)Satish K Tadikonda - Univ. of Iowa (USA)Steve M Collins - Univ. of Iowa (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.2059(1), pp.236-247
- Conference
- Sensor Fusion VI
- DOI
- 10.1117/12.150259
- ISSN
- 0277-786X
- Language
- English
- Date published
- 08/20/1993
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047853702771
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