Non-Linear Scale-Spaces Isomorphic to the Linear Case

نویسنده

  • Luc Florack
چکیده

An in nite dimensional class of isomorphisms is considered, relating a particular class of nonlinear scale-spaces to the well-established linear case. The nonlinearity pertains to an invertible mapping of grey-values, which can be adapted so as to account for external knowledge. This is particularly interesting for applications such as segmentation in medical imaging, whereby one is in possession of a model relating tissue types to image grey-values. It is moreover of interest in de ning a consistent scale-space representation of vector-valued and multispectral images.

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تاریخ انتشار 1998