Vector morphological operators for colour images

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Abstract

In this paper we extend the basic morphological operators dilation and erosion for grey-scale images based on the threshold approach, umbra approach and fuzzy set theory to colour images. This is realised by treating colours as vectors and defining a new vector ordering so that new colour morphological operators are presented. Here we only discuss colours represented in the RGB colour space. The colour space RGB becomes together with the new ordering and associated minimum and maximum operators a complete chain. All this can be extended to the colour spaces HSV and L*a*b*. Experimental results show that our method provides an improvement on the component-based approach of morphological operators applied to colour images. The colours in the colour images are preserved, that is, no new colours are introduced. © Springer-Verlag Berlin Heidelberg 2005.

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APA

De Witte, V., Schulte, S., Nachtegael, M., Van Der Weken, D., & Kerre, E. E. (2005). Vector morphological operators for colour images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3656 LNCS, pp. 667–675). Springer Verlag. https://doi.org/10.1007/11559573_82

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