Research of Red Tide Algae Images Feature Selection Method Based on ReliefF and SBS

Shu Fang Li; Qin Jia; Hong Liang

doi:10.4028/www.scientific.net/AMM.507.806

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The Comprehensive Environmental Quality Evaluation and Pollution Analysis about the North Area of Guangdong
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Research of Red Tide Algae Images Feature Selection Method Based on ReliefF and SBS
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 507Research of Red Tide Algae Images Feature...

Research of Red Tide Algae Images Feature Selection Method Based on ReliefF and SBS

Abstract:

In order to Red Tide algae present real-time automatic classification method of high accuracy rate, this paper proposes using ReliefF-SBS for feature selection. Namely feature analysis about Red Tide algae image original data set. And on this basis, feature selection to remove the irrelevant features and redundant features from the original feature set feature, to get the optimal feature subset, and reduce their impact on the classification accuracy. Meanwhile compare the classification results before and after SVM and KNN two kinds feature selection classifiers.

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Periodical:

Applied Mechanics and Materials (Volume 507)

Pages:

806-809

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.507.806

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Online since:

January 2014

Authors:

Shu Fang Li*, Qin Jia, Hong Liang

Keywords:

Feature Selection, Red Tide Algae, ReliefF, SBS

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