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Titlebook: Computer Architectures for Spatially Distributed Data; Herbert Freeman (Professor of Computer Engineering Conference proceedings 1985 Spri

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Taschenbuch für den Maschinenbauvious one) using a probability vector referred to the labels. A relaxation process is then accomplished in order to reinforce the probability of a specific label for each given segment. At the end of the process a reorganization of the labels belonging to both maps is carried out and a correspondenc
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https://doi.org/10.1007/978-3-642-99686-3m the scene as it is needed. The discussion will focus on the image processing and control subsystems. The description of these two major subsystems will provide a basis for the design of a disparity based scene analysis computer architecture.
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Algorithm-Driven Architecture for Parallel Image Processing,ations seem to require a number of new features in the architecture. Of special importance are the so-called distributed processor topology for fast neighborhood access, and index arithmetic for table-look up. From a hard-ware point of view, however, the added complexity of the processors is also a
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Architectures of SIMD Cellular Logic Image Processing Arrays,st grows in the potential applications of real-time image analysis. A conventional (von Neumann) serial processor is clearly unable to achieve processing rates which would keep up with the data flow from standard television image sequences. Suppose that it is required to perform a simple, 3 × 3 loca
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The Conversion Via Software of a SIMD Processor into a MIMD Processor,one for each processor of a SIMD architecture. Each of these parts is a different execution flow--a different program--. The execution of these different programs by a SIMD architecture is the main theme of the paper..The method has been developed in some detail for the PS-2000, a SIMD Soviet multip
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VLSI Multiprocessor for Image Processing,plications. This article presents a systematic approach to developing a special-purpose computer for processing pictorial information. This approach integrates both pattern-analysis and image-database-management capabilities into a unified design to meet the challenges. The integrated design is aime
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