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.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Geusebroek, J.-M., van Boomgard, R., Smeulders, A.W.M., Geerts, H.: Color invariance. PAMI 23, 1338–1350 (2001)
Gevers, T., Smeulders, A.W.M.: Color based object recognition. Pattern Recognition 32, 453–464 (1999)
Klinker, G.J., Shafer, S.A., Kanade, T.: A physical approach to color image understanding. International Journal of Computer Vision 4, 7–38 (1990)
Marchant, J.A., Onyango, C.M.: Shadow invariant classification for scenes illuminated by daylight. Journal of the Optical Society of America A (2000)
Martinez-Uso, A., Pla, F., Garcia-Sevilla, P.: Multispectral segmentation by energy minimization. In: 2nd Iberian Conference on Pattern Recognition and Image Analysis, IbPria 2005 (2005)
Martinez-Uso, A., Pla, F., Garcia-Sevilla, P.: Color image segmentation using energy minimization on a quadtree representation. In: International Conference on Image Analysis and Recognition, ICIAR 2004 (2004)
Shafer, S.A.: Using color to separate reflection components. Color Resolution Applications 10(4), 210–218 (1985)
Stokman, H.M.G., Gevers, T.: Hyperspectral edge detection and classification. In: BMVC (1999)
Di Zenzo, S.: A note on the gradient of a multi-image. Computer Vision Graphics Image Processing 33, 116–125 (1986)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/11492429_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
Online ISBN: 978-3-540-32237-5
eBook Packages: Computer ScienceComputer Science (R0)