Image analysis – Histogram processing – For setting a threshold
Patent
1992-07-02
1994-07-26
Chin, Stephen
Image analysis
Histogram processing
For setting a threshold
382 27, G06K 946
Patent
active
053332105
ABSTRACT:
A method and system for performing pattern analysis with a neural network coarse-code a pattern to be analyzed so as to form a plurality of sub-patterns collectively defined by data. Each of the sub-patterns comprises sets of sub-pattern data. The neural network includes a plurality of fields, each field being associated with one of the sub-patterns so as to receive the sub-pattern data therefrom. Training and testing by the neural network then proceeds in the usual way, with one modification: the transfer function thresholds the value obtained from summing the weighted products of each field over all sub-patterns associated with each pattern being analyzed by the system.
REFERENCES:
patent: 4802103 (1989-01-01), Faggin et al.
patent: 4803736 (1989-02-01), Grossberg et al.
patent: 5151951 (1992-09-01), Ueda et al.
Li et al., "Invariant Object Recognition Based on a Neural Network of Cascaded RCE Nets", 1990, vol. 2, pp. 845-854.
Rosen et al., "Adaptive Coarse-Coding for Neural Net Controllers", 1991, vol. 1, pp. 493-499.
Reid et al., "simultaneous position, scale, and rotation invariant pattern classification using third-order neural networks", Int. J. of Neural Networks, 1, 1989, pp. 154-159.
Reid et al., "Rapid Training of Higher-Order Neural Networks for Invariant Pattern Recognition", Proceedings of Joint Int. Conf. on Neural Networks, Washington, D.C. Jun. 18-22, 1989, vol. 1, pp. 689-692.
Spirkovska et al., "Connectivity Strategies for Higher-Order Neural Networks Applied to Pattern Recognition", Int. Joint Conf. on Neural Networks, San Diego, Calif., Jun. 17-21, 1990, vol. I, pp. 21-26.
Rosenfeld et al, "A Survey of Coarse-Coded Symbol Memories", Proc. of the 1988 Connectionist Models Summer School, Carnegie-Mellon Univ., Jun. 17-26, 1988, pp. 256-264.
Giles et al., "Encoding Geometric Invariances in Higher-Order Neural Networks", Neural Information Processing Systems, American Institute of Physics Conference Proceedings, 1988, pp. 301-309.
Giles et al., "Learning, Invariance, and Generalization in High-Order Neural Networks", Applied Optics, 1987, vol. 26, pp. 4972-4978.
Specht, "Probabilistic Neural Networks and the Polynomial Adaline as Complimentary Techniques for Classification", IEEE Transactions on Neural Networks, vol. 1, No. 1, pp. 111-121, Mar. 1990.
Lapedes et al., "Programming a Massively Parallel, Computation Universal System: Static Behavior", American Institute of Physics, pp. 283-298, Mar. 1986.
Lippmann, "An Introduction to Computing with Neural Nets", IEEE ASSP Magazine, pp. 4-22, Apr. 1987.
Yager, "On the Aggregation of Processing Units in Neural Networks", Machine Intelligence Institute, Iona College, pp. II-327-II-333.
Fukaya et al., "Two-Level Neural Networks: Learning by Interaction with Environment", IEEE First Int. Conf. on Neural Networks, Jun. 21, 1987.
Lippmann, "Pattern Classification Using Neural Networks", IEEE Communications Magazine, pp. 47-56,Nov. 1989.
Nielson, "Neurocomputing Applications: Sensor Processing, Control, and Data Analysis", Neurocomputing, 1990 Addison-Wesley.
Reid Max B.
Spirkovska Liljana
Brekke Darrell G.
Chin Stephen
Manning John R.
May Timothy J.
Miller Guy
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