Image analysis – Histogram processing – For setting a threshold
Patent
1993-05-24
1995-01-03
Mancuso, Joseph
Image analysis
Histogram processing
For setting a threshold
G06K 936
Patent
active
053793528
ABSTRACT:
Method of processing signal data on the basis of Principal Component Transform, apparatus for performing the method. A method is proposed for determining approximations of eigenvectors of a covariance matrix associated with signal data on the basis of the Principal Component Transform. Successive iterations on estimates enhance the development into the direction of the principal component considered. The method is applicable to the Singular Value Decomposition of data matrices. The operations to be performed are similar to those required in a neural net for adapting the synaptic coefficients. Apparatus are proposed for performing the method.
REFERENCES:
patent: 4945502 (1990-07-01), Kwon et al.
R. C. Gonzales et al., Digital Image Processing, Second Edition, Addison-Wesley Publishing Company, 1987, pp. 122-130.
Y. Chauvin, "Principal Component Analysis By Gradient Descent On a Constrain Linear Hebbian Cell", IEEE and INNS International Joint Conference on Neural Nets, 1989, pp. I373-I405.
Sirat Jacques A.
Zwierski Didier E.
Barschall Anne E.
Fox David
Mancuso Joseph
U.S. Philips Corporation
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