DifSerently scaled intensity discontiuities along the gradient direction of scaled oriented contrast edges define significant X-ray CT and MR image structure. Reliable detection and quantitative description of such scaled intensity discontinuities (with a priori unknown relative contrasts, local widths, loci and orientations) is achieved with a scale-space approach. It results in an explicit token representation which can be understood as a compact symbolic description of significant image strucuture, viz a set of quantitative attributes per contrast edge {in contrast to e.g. the wavelet representation). Moreover, a multi-resolution approach is used to reconstruct the image intensity function from the token representation alone using a membrane as prior image model. We present current results from the novel entire processing cascade, which combines a quantitative discontinuity description and a membrane-based intensity reconstruction.
Information and communication technology has become an indispensable mainstay of business, social, and personal processes.Growing requirements for more extensive networking and increased mobility raise key questions about identity, security, and trust.
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