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Structure adaptive anisotropic filtering for magnetic resonance image enhancement

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Computer Analysis of Images and Patterns (CAIP 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

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Abstract

This paper presents a structure adaptive anisotropic filtering method and its applications. It differs from other techniques in that instead of using local gradient as a means of controlling the anisotropism of the filters, it uses the local intensity orientation of level contours and its curvature to control the shape and the extent of the filter kernel. This ensures that edges and corners are well preserved throughout the filtering process.

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Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Yang, G.Z., Burger, P., Firmin, D.N., Underwood, S.R. (1995). Structure adaptive anisotropic filtering for magnetic resonance image enhancement. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_320

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  • DOI: https://doi.org/10.1007/3-540-60268-2_320

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

  • eBook Packages: Springer Book Archive

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