α-Trimmed lexicographical extrema for pseudo-morphological image analysis

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α-trimmed lexicographical extrema for pseudo-morphological image analysis

The extension of mathematical morphology to colour, and more generally to multivariate image data, continues to be an open problem. As its underlying theory is defined in terms of complete lattices, the main challenge lies in introducing a complete lattice structure on the image intensity range, hence vectorial extrema computation methods are necessary. In this paper, we circumvent the need for...

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a-Trimmed lexicographical extrema for pseudo-morphological image analysis

The extension of mathematical morphology to colour, and more generally to multivariate image data, continues to be an open problem. As its underlying theory is defined in terms of complete lattices, the main challenge lies in introducing a complete lattice structure on the image intensity range, hence vectorial extrema computation methods are necessary. In this paper, we circumvent the need for...

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alpha-Trimmed lexicographical extrema for pseudo-morphological image analysis

The extension of mathematical morphology to colour, and more generally to multivariate image data, continues to be an open problem. As its underlying theory is defined in terms of complete lattices, the main challenge lies in introducing a complete lattice structure on the image intensity range, hence vectorial extrema computation methods are necessary. In this paper, we circumvent the need for...

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Pseudo Multivariate Morphological Operators based on α-trimmed Lexicographical Extrema

The extension of mathematical morphology to color and more generally to multivariate image data is still an open problem. The definition of multivariate morphological operators requires the introduction of a complete lattice structure on the image data, hence vectorial extrema computation methods are necessary. In this paper, we propose a lexicographical approach with this end, based on the pri...

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ژورنال

عنوان ژورنال: Journal of Visual Communication and Image Representation

سال: 2008

ISSN: 1047-3203

DOI: 10.1016/j.jvcir.2007.10.001