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Titlebook: Computer Analysis of Images and Patterns; 5th International Co Dmitry Chetverikov,Walter G. Kropatsch Conference proceedings 19931st editio

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Error diffusion in Block Truncation Coding,50 pixels per inch. Six quality objective measures were used: mean squared error MSE, percentage of normalized mean squared error NMSE, signal to noise ratio SNR, range to noise ratio SNR‘, Hosaka plot‘s mean area AM, and Hosaka plot‘s standard deviation area AS.
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https://doi.org/10.1007/978-1-4471-7472-1lobal histogram of relative frequencies of the image intensity gradient, is proposed. The smoothing method developed has been tested on a real MR image (from a set of 2D spin-echo data). A comparison of the influence of both diffusion coefficients on smoothing effect is presented.
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Rotation invariance in edge detection,symmetric (resp. rotationally dependent) detectors the performances of which are edge orientation sensitive (resp. orientation free) and vice-versa. Furthermore, we present the performance evaluation of the Canny and Deriche detectors.
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https://doi.org/10.1007/978-1-4613-3560-3sion algorithm is possible if the performance of each of the sub-algorithm constituents is given. The problem, however, is that for most published algorithms, there is no performance characterization which has been established in the research literature. This is an awful state of affairs for the eng
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