Almuhairi, H and Fleury, M and Clark, AF (2010) Time-weighted evaluation of image segmentation with a genetic algorithm. In: UNSPECIFIED, ? - ?.
Full text not available from this repository.Abstract
The performance of a segmentation algorithm can be evaluated by systematic comparison with hand-segmented ground-truth images. When evaluation extends over an algorithm's parameter space, then the search for satisfactory settings has a considerable cost in time. This paper considers applying a genetic algorithm (GA) to avoid an exhaustive search. To further reduce evaluation time and subsequent image batch-processing times, this paper introduces a time factor into the GA cost function. This procedure while preserving the GA solution, selection of parameters to minimize the fit to hand-segmented images, also improves interpretation and parameter selection.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications |
Uncontrolled Keywords: | Image segmentation; Genetic algorithm; Quantitative evaluation |
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 19:55 |
Last Modified: | 21 Jun 2022 18:45 |
URI: | http://repository.essex.ac.uk/id/eprint/9204 |
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