Paper
1 March 1994 Using pseudorandom phase-only encoding to approximate fully complex distortion-invariant filters
Laurence G. Hassebrook, Michael E. Lhamon, Raymond C. Daley, Robert W. Cohn, Minhua Liang
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Abstract
In this paper, we introduce a unified model-based pattern recognition approach that can be formulated into a variety of techniques to be used for a variety of applications. Complex phasor addition and cancellation are incorporated into the design of filter(s) to perform implicit logical operations using linear correlation operators. These implicit logical operations are suitable to implement high-level gray-scale morphological transformations of input images. In this way we effectively project nonlinear decision boundaries into the input signal space yet maintain the mathematical simplicity of linear filter designs. We apply this approach to the automatic distortion- and intensity-invariance object recognition problem. We introduce a set of shape operators or complex filters that are logically structured into a filter bank architecture to accomplish the distortion and intensity-invariant system. This synthesized complex filter bank is optimally sensitive to fractal noise representing natural scenery. The sensitivity is optimized for a specific fractal parameter range using the Fisher discriminant. The output responses of the proposed system are shown for target, clutter, and pseudo-target inputs to represent its discrimination and generalization capability in the presence of distortion and intensity variations.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Laurence G. Hassebrook, Michael E. Lhamon, Raymond C. Daley, Robert W. Cohn, and Minhua Liang "Using pseudorandom phase-only encoding to approximate fully complex distortion-invariant filters", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); https://doi.org/10.1117/12.169425
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Phase only filters

Image filtering

Computer programming

Linear filtering

Transmittance

Composites

Spatial light modulators

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