Method of classifying signals, especially image signals

Details Method of classifying signals, especially image signals Method of classifying signals, especially image signals

1994-06-01

1997-10-21

Chin, Wellington

Image analysis

Learning systems

Trainable classifiers or pattern recognizers

382170, 382228, 381 41, G06K 962

Patent

active

056804768

ABSTRACT:
Artificial Intelligence (AI) techniques are used for processing data having multiple possible values, for example, gray-scale values of pixels of an image. This is useful in scanning of digitally-coded image data to detect anomalies, for example defects in some of a series of manufactured products. The preferred processing apparatus has either one processing channel or multiple parallel processing channels. The apparatus samples or scans incoming signals to produce a matrix of scan values, selects subsets of the scan values to define samples, extracts at least one feature, such as mean image brightness (MM), activity (MA), gradient absolute value (MG) and/or gradient direction (MD) from each sample, uses the at least one feature as an address to retrieve, from a table, a corresponding probability-of-occurrence value, derives, from the probability-of-occurrence values of a plurality of the samples, a decision value, and compares the decision value with a predetermined threshold value. The probability-of-occurrence values are stored in the table during a "learning" procedure.

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Peter Bock et al., "Project Alias Phase I Final Report," Research Institute for Applied Knowledge Processing (FAW), Ulm, Germany, in cooperation with the University of Ulm and Robert Bosch GmbH, Mar. 1990, 68 pages.

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