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000830150 0247_ $$2ISSN$$a1611-3349
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000830150 041__ $$aEnglish
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000830150 1001_ $$0P:(DE-HGF)0$$aBreuß, Michael$$b0$$eCorresponding author
000830150 1112_ $$a13th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing$$cFontainebleau$$d2017-05-15 - 2017-05-17$$gISMM 2017$$wFrance
000830150 245__ $$aMatrix-Valued Levelings for Colour Images
000830150 260__ $$aCham$$bSpringer International Publishing$$c2017
000830150 29510 $$aMathematical Morphology and Its Applications to Signal and Image Processing / Angulo, Jesús (Editor)   ; Cham : Springer International Publishing, 2017, Chapter 24 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-57239-0=978-3-319-57240-6 
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000830150 4900_ $$aLecture Notes in Computer Science$$v10225
000830150 520__ $$aMorphological 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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000830150 7001_ $$0P:(DE-HGF)0$$aHoeltgen, Laurent$$b1
000830150 7001_ $$0P:(DE-Juel1)169421$$aKleefeld, Andreas$$b2$$ufzj
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