HUE VARIANCE PREDICTION - An Empirical Estimate of the Variance within the Hue of an Image

Robert N. Grant, Richard D. Green, Adrian J. Clark

Abstract

In the area of vision-based local environment mapping, inconsistent lighting can interfere with a robust system. The HLS colour model can be useful when working with varying illumination as it tries to separate illumination levels from hue. This means that using hue information can result in an image invariant to illumination. This can be valuable when trying to determine object boundaries, object identification and image correspondence. The problem is that noise is greater at lower illumination levels. While removing the illumination effects on the image, separating out hue means that the noise effects of non-optimal illumination remain. This paper looks at how the known illumination information of pixels can be used to accurately predict and reduce noise in the hue obtained in video from a colour digital camera.

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Paper Citation


in Harvard Style

N. Grant R., D. Green R. and J. Clark A. (2007). HUE VARIANCE PREDICTION - An Empirical Estimate of the Variance within the Hue of an Image . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 978-972-8865-73-3, pages 5-9. DOI: 10.5220/0002041300050009


in Bibtex Style

@conference{visapp07,
author={Robert N. Grant and Richard D. Green and Adrian J. Clark},
title={HUE VARIANCE PREDICTION - An Empirical Estimate of the Variance within the Hue of an Image},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2007},
pages={5-9},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002041300050009},
isbn={978-972-8865-73-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - HUE VARIANCE PREDICTION - An Empirical Estimate of the Variance within the Hue of an Image
SN - 978-972-8865-73-3
AU - N. Grant R.
AU - D. Green R.
AU - J. Clark A.
PY - 2007
SP - 5
EP - 9
DO - 10.5220/0002041300050009