CORAL REEF TEXTURE CLASSIFICATION USING SUPPORT VECTOR MACHINES

Anand Mehtaa, Eraldo Ribeiro, Jessica Gilner, Robert van Woesikb

Abstract

The development of tools to examine the ecological parameters of coral reefs is seriously lagging behind available computer-based technology. Until recently the use of images in environmental and ecological data gathering has been limited to terrestrial analysis because of difficulties in underwater image capture and data analysis. In this paper, we propose the application of computer vision to address the problem of monitoring and classifying coral reef colonies. More specifically, we present a method to classify coral reef images based on their textural appearance using support vector machines (SVM). Our algorithm uses raw pixel color values directly as sample vectors. We show promising results on region classification of three coral types for low quality underwater images. This will allow for more timely analysis of coral reef images and broaden the capabilities of underwater data interpretation.

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Paper Citation


in Harvard Style

Mehtaa A., Ribeiro E., Gilner J. and van Woesikb R. (2007). CORAL REEF TEXTURE CLASSIFICATION USING SUPPORT VECTOR MACHINES . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 302-305. DOI: 10.5220/0002062303020305


in Bibtex Style

@conference{visapp07,
author={Anand Mehtaa and Eraldo Ribeiro and Jessica Gilner and Robert van Woesikb},
title={CORAL REEF TEXTURE CLASSIFICATION USING SUPPORT VECTOR MACHINES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={302-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002062303020305},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - CORAL REEF TEXTURE CLASSIFICATION USING SUPPORT VECTOR MACHINES
SN - 978-972-8865-74-0
AU - Mehtaa A.
AU - Ribeiro E.
AU - Gilner J.
AU - van Woesikb R.
PY - 2007
SP - 302
EP - 305
DO - 10.5220/0002062303020305