Abstract
Colour images are multivariable functions, and for segmenting them one must go through a reducing step. It is classically obtained by calculating a gradient module, which is then segmented as a gray tone image. An alternative solution is proposed in the paper. It is based on separated segmentations, followed by a final merging into a unique partition. Three problems are treated this way. First, the search for alignments in the 2-D saturation/luminance histograms. It yields partial, but instructive results which suggest a model for the distribution of the light over the space. Second, the combination of luminance dominant and hue dominant regions in images. Third, the synthesis between colour and shape information in human bust tracking.
Keywords
- colour
- segmentation
- saturation
- norms
- light propagation
- connection
- multivariate analysis
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Serra, J. (2005). Morphological Segmentations of Colour Images. In: Ronse, C., Najman, L., Decencière, E. (eds) Mathematical Morphology: 40 Years On. Computational Imaging and Vision, vol 30. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3443-1_15
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DOI: https://doi.org/10.1007/1-4020-3443-1_15
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-3442-8
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