We introduce the Anisotropic Diffusion Pyramid (ADP), a structure for multiresolution image processing. We also develop the ADP for use in region-based segmentation. The pyramid is constructed using the anisotropic di...
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We introduce the Anisotropic Diffusion Pyramid (ADP), a structure for multiresolution image processing. We also develop the ADP for use in region-based segmentation. The pyramid is constructed using the anisotropic diffusion equations, creating an efficient scale-space representation. Segmentation is accomplished using pyramid node linking. Since anisotropic diffusion preserves edge localization as the scale is increased, the region boundaries in the coarse-to-fine ADP segmentation are accurately delineated. An application to segmentation of remotely sensed data is provided. The results of ADP segmentation are compared to Gaussian-based pyramidal segmentation. The examples show that the ADP has a superior ability to subdivide the image into integral groupings, minimizing the error in boundary localization and in pixel intensity.< >
This paper is intended to serve as a springboard for a panel discussion with audience participation on information filtering and retrieval. Medical informatics is an emerging specialty which links medicine and technol...
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This paper is intended to serve as a springboard for a panel discussion with audience participation on information filtering and retrieval. Medical informatics is an emerging specialty which links medicine and technology. With the unprecedented availability of digital information, retrieval and filtering are becoming important aspects of medical informatics. The authors offer an overview of medical applications for filtering and retrieval, and introduce important state-of-the-art techniques in a way that does not presuppose prior knowledge in this field. This provides a basis for understanding issues and research developments in this field. The ensuing discussion examines challenges and opportunities for workers in this field.< >
The authors discuss the potential of artificial neural networks for automating expert visual classifications undertaken in the marine sciences. They illustrate their application with two examples and show their perfor...
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The authors discuss the potential of artificial neural networks for automating expert visual classifications undertaken in the marine sciences. They illustrate their application with two examples and show their performance, in those cases, to be strongly constrained by the nature of the training data. A proposal for escaping these data limitations is described which involves providing networks with multiple, coarse input channels. They provide evidence that performance is enhanced by this technique and suggest that it may be possible to construct networks which have a general ability to learn specific visual discriminations.< >
We consider the problem of partitioning coarse grain signal flow graphs for execution on a class of hierarchically structured, heterogeneous multiprocessor architectures tailored to match the characteristics of a spec...
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The goal of IC production test is to avoid selling bad parts. The goal of fault grading is to assure that the test is so thorough that only an acceptably small fraction of shipped parts are bad. Fault grading is almos...
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The goal of IC production test is to avoid selling bad parts. The goal of fault grading is to assure that the test is so thorough that only an acceptably small fraction of shipped parts are bad. Fault grading is almost always based on a single-stuck fault, ssf, model.< >
This paper proposes and evaluates an approach for partitioning and mapping a class of parallel discrete event simulation models. The class of models is a subset of Petri Nets known as marked graphs. Six commercial sim...
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This paper proposes and evaluates an approach for partitioning and mapping a class of parallel discrete event simulation models. The class of models is a subset of Petri Nets known as marked graphs. Six commercial simulation models based on the marked graph modeling paradigm are examined to evaluate the available parallelism typically found in real models. The parallelism that can be exploited is very dependent upon effective partitioning and mapping algorithms to ensure a useful distribution of concurrently executable events. A partitioning and mapping algorithm is proposed in this paper, and its performance is evaluated.< >
This paper presents a new lossless compression algorithm for computer animation image sequences. The algorithm uses transformation information available in the animation script and floating point depth and object numb...
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This paper extends existing work in virtual-channel flow control mechanisms by focusing on the bandwidth allocation issues. It presents an analytical model of the network that captures key phenomena of bandwidth alloc...
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This paper extends existing work in virtual-channel flow control mechanisms by focusing on the bandwidth allocation issues. It presents an analytical model of the network that captures key phenomena of bandwidth allocation mechanisms in k-ary n-cubes. Tradeoffs are examined between full-duplex vs half-duplex links, purely demand-driven bandwidth allocation vs demand-driven allocation with CTS lookahead, and virtual to physical link assignment with link load balancing.< >
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