28 December 1982 Pyramidal Normalization Filter: Visual Model With Applications To Image Understanding
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Proceedings Volume 0341, Real-Time Signal Processing V; (1982) https://doi.org/10.1117/12.933701
Event: 1982 Technical Symposium East, 1982, Arlington, United States
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.
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P. S. Schenker, P. S. Schenker, D. R. Unangst, D. R. Unangst, T. F. Knaak, T. F. Knaak, D. T. Huntley, D. T. Huntley, W. R. Patterson, W. R. Patterson, } "Pyramidal Normalization Filter: Visual Model With Applications To Image Understanding", Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); doi: 10.1117/12.933701; https://doi.org/10.1117/12.933701
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