Method and apparatus for pattern classification using distribute

Image analysis – Histogram processing – For setting a threshold

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382 36, 396 3, 396 21, G06K 900

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053902610

ABSTRACT:
A method for pattern classification and, in particular, a method which distributes the classification criteria across a neural network. The classification criteria for a pattern class is stored distributively in the neural network in two aspects. First, it manifests itself as one or more levels of templates, each of which represents a fuzzily unique perspective of the pattern class. Second, the template at each level is represented by a set of fuzzy windows, each of which defines a classification criterion of a corresponding feature of the pattern class.

REFERENCES:
patent: 5222155 (1993-06-01), Delanoy et al.
"A Fuzzy Neuron And Its Application To Pattern Recognition", T. Yamakawa & S. Tomoda, 3rd IFSA Congress, Seattle, Wash., Aug. 6-11, 1989, pp. 30-38.
"Patent Abstracts of Japan", Publication Number JP2310782, Dec. 26, 1990.

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