Abstract
It is well-known that image pixel values of an object could vary if the lighting conditions change. Some common factors that produce changes in the pixels values are due to the viewing and the illumination direction, the surface orientation and the type of surface.
For the last years, different works have addressed that problem, proposing invariant representations to the previous factors for colour images, mainly to shadows and highlights. However, there is a lack of studies about invariant representations for multispectral images, mainly in the case of invariants to highlights.
In this paper, a new invariant representation to illumination intensity, object geometry and highlights for multispectral images is presented. The dichromatic reflection model is used as physical model of the colour formation process. Experiments with real images are also presented to show the performance of our approach.
This paper has been partially supported by projects: DPI2001-2956-C02-02 from Spanish CICYT and IST-2001-37306 from European Union.
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Montoliu, R., Pla, F., Klaren, A.C. (2005). Illumination Intensity, Object Geometry and Highlights Invariance in Multispectral Imaging. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_5
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DOI: https://doi.org/10.1007/11492429_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
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