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- W1998658512 abstract "This paper introduces a new nonlinear filter model which has applications in low-level machine vision. We show that this model, which we designate the normalization filter, is the basis for non-directional, multiple spatial frequency channel resolved detection of image edge structure. We show that the results obtained in this procedure are in close correspondence to the zero-crossing sets of the Marr-Hildreth edge detector.6 By comparison to their model, ours has the additional feature of constant-contrast thresholding, viz., it is spatially brightness adaptive. We describe a highly efficient and flexible realization of the normalization filter based on Burt's algorithm for pyramidal filtering.18 We present illustrative experimental results that we have obtained with a computer implementation of this filter design." @default.
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- W1998658512 date "1982-12-28" @default.
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- W1998658512 title "<title>Pyramidal Normalization Filter: Visual Model With Applications To Image Understanding</title>" @default.
- W1998658512 doi "https://doi.org/10.1117/12.933701" @default.
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