Structural flow smoothing for shape interpolation

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Structural flow smoothing for shape interpolation
This paper presents a comparative study of robust diffusion algorithms when used for smoothing structural fields applied in volumetric image interpolation. The input data consists of a set of parallel and equidistant slices which are considered sparsely located along a central axis. The structural flows are constructed using the dual directional block matching algorithm (DBMA). Two vectorial flows are modelled in both directions along the central axis, using the correlation between blocks of pixels from successive slices. As with most block matching algorithms, this method is susceptible to noise and the resulting vector fields contain outliers. A methodology that combines diffusion and robust statistics in order to smooth the dual structural flow is proposed. Consequently, new slices are interpolated in between the existing slices, according to the smoothed vector fields. The set of algorithms is applied in volumetric medical images.
Adrian G. Bors, Ashish Doshi
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Adrian G. Bors, Ashish Doshi
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