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- W1974774877 abstract "Local mean and variance measures are frequently required in multi-dimensional image analysis. These measures are needed when calculating correlation coefficients for local image matching purposes. Other measures such as skewness and autocorrelation are useful for texture analysis. This paper presents a fast algorithm for calculating these local statistics in a window of an N -dimensional image. The new algorithm, which is called the plunger method, recursively reduces the dimensions of the input N -dimensional image to achieve fast computation. The speed of the algorithm is independent of the window size. Another advantage of the algorithm is that it calculates the local statistics in one pass. Real image tests have been performed." @default.
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- W1974774877 date "2001-12-01" @default.
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- W1974774877 title "Fast Algorithm for Local Statistics Calculation for N -Dimensional Images" @default.
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- W1974774877 doi "https://doi.org/10.1006/rtim.2001.0265" @default.
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