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2016 | OriginalPaper | Buchkapitel

4. Amoeba Techniques for Shape and Texture Analysis

verfasst von : Martin Welk

Erschienen in: Perspectives in Shape Analysis

Verlag: Springer International Publishing

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Abstract

Morphological amoebas are image-adaptive structuring elements for morphological and other local image filters introduced by Lerallut et al. Their construction is based on combining spatial distance with contrast information into an image-dependent metric. Amoeba filters show interesting parallels to image filtering methods based on partial differential equations (PDEs), which can be confirmed by asymptotic equivalence results. In computing amoebas, graph structures are generated that hold information about local image texture. This chapter reviews and summarises the work of the author and his coauthors on morphological amoebas, particularly their relations to PDE filters and texture analysis. It presents some extensions and points out directions for future investigation on the subject.

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Metadaten
Titel
Amoeba Techniques for Shape and Texture Analysis
verfasst von
Martin Welk
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-24726-7_4