Abstract
In machine vision systems recording the colour of an object is crucial for applications such as skin detection while it will enhance applications including colour based recognition and image retrieval. Unfortunately, almost none of the existing colour constancy algorithms have been designed to deal with the high dynamic ranges that can occur in external, naturally illuminated scenes. One algorithm that can deal with these scenes has been proposed by Finlayson and Drew. In this paper a method of assessing the performance of this algorithm, and equivalent algorithms, are proposed. The performance of this algorithm is then significantly improved by optimising the spectral response of the sensors used to obtain the data required by algorithm. Since the resulting performance is comparable to that of the human visual system it appears that this algorithm is capable of obtaining useful chromaticity information under highly varying illumination conditions.
Chapter PDF
Similar content being viewed by others
References
Holst, G.C., Lomheim, T.S.: CMOS/CCD Sensors and camera systems. SPIE press, Washington (2007)
Ebner, M.: Color constancy. Wiley- IS&T Series in Imaging Science and Technology (2007)
Funt, B., Barnard, K., Martin, L.: Is colour constancy good enough? In: Burkhardt, H.-J., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1406, pp. 445–459. Springer, Heidelberg (1998)
Foster, D.: Does colour constancy exist? Trends in Cognitive Science 7, 439–443 (2003)
Ohta, N.: Optimisation of Spectral Sensitivities. Phot. Sci. Eng. 27, 193–201 (1983)
Vrhel, M.J., Trussell, J.H.: Optimal color filters in the presence of noise. IEEE Trans. Image Processing 4, 814–823 (1995)
Finlayson, G.D., Drew, M.S.: 4-sensor camera calibration for image representation invariant to shading, shadows, lighting, and specularities. In: ICCV, pp. 473–480 (2001)
Database – Munnsell Colours Matt, ftp://ftp.cs.joensuu.fi/pub/color/spectra/mspec/
Colorpro Communications, http://www.colorpro.com/info/data/daylites.html
Abrardo, A., Cappellini, V., Cappellini, M., Mecocci, A.: Art-works colour calibration using the VASARI scanner. In: Proceedings of IS&T and SID’s 4th Color Imaging Conference: Color Science, Systems and Applications, pp. 94–97 (1996)
Hardeberg, J.Y.: Acquisition and reproduction of color images: colorimetric and multispectral approaches. PhD dissertation, Paris (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ratnasingam, S., Collins, S. (2009). Optimum Sensors for ‘Chromaticity’ Constancy in the Pixel. In: Foggia, P., Sansone, C., Vento, M. (eds) Image Analysis and Processing – ICIAP 2009. ICIAP 2009. Lecture Notes in Computer Science, vol 5716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04146-4_80
Download citation
DOI: https://doi.org/10.1007/978-3-642-04146-4_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04145-7
Online ISBN: 978-3-642-04146-4
eBook Packages: Computer ScienceComputer Science (R0)