Almuhairi, H and Fleury, M and Clark, AF (2009) Time-weighted quantitative testing of image segmentation with a genetic algorithm. In: 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2009-12-14 - 2009-12-17.
Almuhairi, H and Fleury, M and Clark, AF (2009) Time-weighted quantitative testing of image segmentation with a genetic algorithm. In: 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2009-12-14 - 2009-12-17.
Almuhairi, H and Fleury, M and Clark, AF (2009) Time-weighted quantitative testing of image segmentation with a genetic algorithm. In: 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2009-12-14 - 2009-12-17.
Abstract
Automatic parameter selection for image segmentation is accelerated by means of a genetic algorithm (GA). Issues remain in selecting the population size, number of generations, and termination of the search. As evaluation time and subsequent image batch-processing time, when the algorithm is applied in practice, are important considerations, this paper introduces a time factor into the GA cost function. It is found that this procedure while preserving the GA solution also improves interpretation and parameter selection. ©2009 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Published proceedings: IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 15 Jul 2015 20:21 |
| Last Modified: | 05 Dec 2024 18:40 |
| URI: | http://repository.essex.ac.uk/id/eprint/9202 |