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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 simple model-based approach to boundary detection for blob shaped objects. A geometric model is used to focus attention on relevant portions of the image during boundary generation. The boundary generated is that which is a globally optimal match to the shape and edge description parameters of the model. The method is illustrated(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)
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. The paper describes an(More)
This paper describes work on the implementation of a Chromosome Classification system in which the representation of structural descriptions, generic control strategies and domain specific knowledge is made explicit. A "Best-First "strategy is used to make an initial interpretation of the data which may then be refined using domain specific knowledge. The(More)