Quantitative Description and Reconstruction of Intensity Functions Using Scale-Space and Multiresolution Processing

Ottenberg, Karsten; Neumann, Heiko; Stiehl, H. Siegfried

doi:10.1016/b978-0-444-89587-5.50059-1

Cited by 1 publication

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“…10 = 20 = 00 in our case. As a consequence the intrinsic local parameters of a priori unlolown 1-D image function discontinuity, which are the space constant la (determing width, viz Marr's edges fuzziness' [9], and steepness) and the contrast c, can be efficiently and accurately estimated via scale-space processing (see [1,7,14]). …”

Section: Extraction Of a Scale-space Token Representationmentioning

confidence: 99%

Finding and describing local structure in discrete two-dimensional computed tomograms

Neumann¹,

Ottenberg²,

Stiehl³

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pa

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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.

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Section: Extraction Of a Scale-space Token Representationmentioning

confidence: 99%