Abstract
Mathematical morphology is broadly used in image processing, but it is mainly restricted to binary or greyscale images. Extension to color images is not straightforward due to the need of application to an ordered space with an infimum and a supremum. In this paper a new approach for the ordering of the RGB space is presented. The adaptation of a linear growing self-organizing network to the three-dimensional color space allows the definition of an order relationship among colors. This adaptation is measured with the topographic product to guarantee a good topology-preservation of the RGB space. Once an order has been established, several examples of application of mathematical morphology operations to color images are presented.
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© 2005 Springer-Verlag Berlin Heidelberg
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Flórez-Revuelta, F. (2005). Ordering of the RGB Space with a Growing Self-organizing Network. Application to Color Mathematical Morphology. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_60
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DOI: https://doi.org/10.1007/11550822_60
Publisher Name: Springer, Berlin, Heidelberg
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