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Parameter-orientated segmentation algorithm evaluation

Al-Muhairi, Hassan and Fleury, Martin and Clark, Adrian F (2011) Parameter-orientated segmentation algorithm evaluation. In: 2011 IEEE GCC Conference and Exhibition (GCC), 2011-02-19 - 2011-02-22.

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Quantitative testing of segmentation algorithms implies rigorous testing against ground-truth segmentations. Though under-reported in the literature, the performance of a segmentation algorithm depends on the choice of input parameters across core, pre- and post-processing stages. The paper highlights the importance of post-processing parameters when the figure of merit is the Berkeley F-measure. It also shows that the search of a parameter space with a genetic algorithm is not only accelerated through the inclusion of a time factor in the cost function but the relative importance of different parameters is highlighted. © 2011 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2011 IEEE GCC Conference and Exhibition, GCC 2011
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 15:58
Last Modified: 23 Sep 2022 18:46

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