Matrix-Valued Levelings for Colour Images

  • Morphological levelings represent a useful tool for the decomposition of an image into cartoon and texture components. Moreover, they can be used to construct a morphological scale space. However, the classic construction of levelings is limited to the use of grey scale images, since an ordering of pixel values is required. In this paper we propose an extension of morphological levelings to colour images. To this end, we consider the formulation of colour images as matrix fields and explore techniques based on the Loewner order for formulating morphological levelings in this setting. Using the matrix-valued colours we study realisations of levelings relying on both the completely discrete construction and the formulation using a partial differential equation. Experimental results confirm the potential of our matrix-based approaches for analysing texture in colour images and for extending the range of applications of levelings in a convenient way to colour image processing.

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Metadaten
Author: Michael BreußGND, Laurent HoeltgenORCiD, Andreas Kleefeld
DOI:https://doi.org/10.1007/978-3-319-57240-6_24
ISBN:978-3-319-57239-0
Title of the source (English):Mathematical morphology and its applications to signal and image processing, 13th international symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, proceedings
Publisher:Springer International Publishing
Place of publication:Cham
Document Type:Conference Proceeding
Language:English
Year of publication:2017
Tag:Mathematical morphology Dilation Erosion Loewner order Leveling
First Page:296
Last Page:308
Series ; volume number:Lecture notes in computer science ; 10225
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Angewandte Mathematik
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