this paper addresses the problem of performing global transforms of images on an SIMD machine proposed for imageprocessing [4]. In particular, parallel computation of two-dimensional fast Fourier transform (2-D FFT) ...
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the development of an imageprocessing scheme for the analysis of cleavage cracks in minerals is described. the scheme is designed for use on digitised rock thin section micrographs. the cracks in a crystal image are ...
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the paper describes an integrated image segmentation/image analysis system. A segmentation algorithm which operates by tuning it's output to a pre-defined mathematical optimum is firstly outlined. Implementation o...
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the main result of this paper is that a projection of the classical Hough transform for line detection onto a subspace of the parameter space (accumulator) will yield a useless trivial result if the composite operator...
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In the coding of digital facsimile documents, a number of non-information-preserving codes have been proposed which make use of the repetition of binary patterns corresponding to printed or typewritten text characters...
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the author reviews a number of parallel-processing projects which use processing power, memory and input/output of image data for image analysis. the systems covered include ILLIAC, CLIP, MPP, the cytocomputer, SNAP, ...
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the author reviews a number of parallel-processing projects which use processing power, memory and input/output of image data for image analysis. the systems covered include ILLIAC, CLIP, MPP, the cytocomputer, SNAP, and PAPIA and II. Issues in parallelism reviewed include types of parallelism, types of operation, complexity of processing elements, and the different paradigms of human vision and their application and implementation.< >
the basic biological principles of nonuniform image representation in the combined frequency-position space are utilized in an approach to image representation and processing. A scheme of image decomposition into opti...
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the basic biological principles of nonuniform image representation in the combined frequency-position space are utilized in an approach to image representation and processing. A scheme of image decomposition into optimal localized frequency operators, the so-called Gabor elementary functions which minimize the uncertainty inherent in image representation, is accordingly proposed. Applications to size-invariance and object-separable pattern analysis, localized texture discrimination, and representation by partial information are discussed, illustrating the advantages of the Gabor transform.< >
For a small CLIP4 processor array, algorithms are described that perform scanning over large images. Two algorithms are shown: a shift out algorithm developed by Stonefield Systems PLC., and a shift through algorithm,...
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It is unlikely that the Hopfield model will be of much practical use as a stand-alone associative memory for patternrecognition purposes. Its importance lies in its conceptual significance: since 1982 nearly all of t...
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this paper presents and evaluates a method for measuring the speed of objects in line image sequences. In a line sequence, a line corresponds to a fixed line position in the real scene, and the objects move against it...
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