The paper addresses the application of graphical replenishment (GR) color interpolation algorithms for visualizing numerical simulation of physical processes in order to enhance the information density of the graphic interpretation of these processes. The GR algorithms presented here may be successfully applied to two- and three-dimensional grids, and grids of various structures.
The photon average trajectory method has been recently investigated as a fast reconstruction technique for time-domain diffuse optical tomography. The main disadvantage of this method is that it reconstructs the tomograms blurred due to averaging over the spatial distributions of photons. To get information about actual boundary and shape of optical inhomogeneities being reconstructed, we propose the segmentation approach based on the generation of nonlinear analytical and statistical functions of correspondence between image intensity and color space. It is shown that for simple models (absorbing macro-inhomogeneities in a homogeneous scattering medium) the proposed approach allows the true structure of inhomogeneities to be reproduced almost completely. If a medium contains randomly inhomogeneous component, our segmentation method may give artifacts which should be removed on the basis of a priori information.
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