Research Repository

Time-weighted evaluation of image segmentation with a genetic algorithm

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.


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)
Additional Information: Published proceedings: VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Clare Chatfield
Date Deposited: 15 Jul 2015 19:55
Last Modified: 05 Feb 2019 19:15

Actions (login required)

View Item View Item