David Pycock

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The Concordance-based Medial Axis Transform (CMAT) presented in this paper is a multiscale medial axis (MMA) algorithm that computes the medial response from grey-level boundary measures. This non-linear operator responds only to symmetric structures, overcoming the limitations of linear medial operators which create "side-lobe" responses for symmetric(More)
This paper describes a framework for model representation and control intended as the basis of a computer vision system capable of undertaking arbitrary but well defined image interpretation tasks. An interrelated structure of models represents both the visual task and image content. The user defines this structure but not the internal details of all(More)
We define a universal gradient-based representation for V-, T-and X-type corners. This expression is used to define a corner detector, based on Moments of the Gradient in Scale-space (MoGS). The performance of this operator is compared with that of the Plessey and the Kitchen and Rosenfeld operators. The MoGS operator is shown to have better invariance to(More)
Few networks offer sufficient bandwidth for the transmission of high resolution two- and three-dimensional medical image sets without incurring significant latency. Traditional compression methods achieve bit-rate reduction based on pixel statistics and ignore visual cues that are important in identifying visually informative regions. This paper describes(More)