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Time-weighted quantitative testing of image segmentation with a genetic algorithm

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.

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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: Elements
Depositing User: Elements
Date Deposited: 15 Jul 2015 20:21
Last Modified: 15 Jan 2022 00:22
URI: http://repository.essex.ac.uk/id/eprint/9202

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