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N-ary Mathematical Morphology


Mathematical morphology on binary images can be fully de-scribed by set theory. However, it is not sucient to formulate mathe-matical morphology for grey scale images. This type of images requires the introduction of the notion of partial order of grey levels, together with the denition of sup and inf operators. More generally, mathemati-cal morphology is now described within the context of the lattice theory. For a few decades, attempts are made to use mathematical morphology on multivariate images, such as color images, mainly based on the no-tion of vector order. However, none of these attempts has given fully satisfying results. Instead of aiming directly at the multivariate case we propose an extension of mathematical morphology to an intermediary situation: images composed of a nite number of independent unordered categories.
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hal-01104191 , version 1 (16-01-2015)



Emmanuel Chevallier, Augustin Chevallier, Jesus Angulo. N-ary Mathematical Morphology. International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, 2015, Re, Iceland. pp.339-350, ⟨10.1007/978-3-319-18720-4_29⟩. ⟨hal-01104191⟩
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