Color is an important extra dimension. Information extracted from color is useful for almost any computer vision task, like segmentation, surface characterization, etc. The field of color science is huge [Wyszecki2000], and many theories exist. It is far beyond the scope of this book to cover even a fraction of the many different approaches. We will focus on a single recent theory, based on the color sensitive receptive fields in the front-end visual system. We are especially interested in the extraction of multi-scale differential structure in the spatial and the color domain of color images. This scale-space approach was recently introduced by Geusebroek et al. [Geusebroekl999a, Geusebroek2000a], based on the pioneering work of Koenderink’s Gaussian derivative color model [Koenderinkl998a]. This chapter presents the theory and a practical implementation of the extraction of color differential structure.
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© 2003 Springer Science + Business Media B.V.
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Geusebroek, JM., ter Haar Romeny, B.M., Koenderink, J.J., van den Boomgaard, R., Van Osta, P. (2003). Color differential structure. In: Front-End Vision and Multi-Scale Image Analysis. Computational Imaging and Vision, vol 27. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8840-7_18
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DOI: https://doi.org/10.1007/978-1-4020-8840-7_18
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-1503-8
Online ISBN: 978-1-4020-8840-7
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