Image analysis – Pattern recognition – Classification
Patent
1995-06-27
2000-05-16
Bella, Matthew
Image analysis
Pattern recognition
Classification
382159, 382274, G06K 962
Patent
active
060647701
ABSTRACT:
A significant problem is unsupervised detection of events in the digital image representation of objects or bodies acquired at logically different states. To detect events a set of sample data points is selected, and normalized using a novel technique to desensitize the analysis to the intensity level of the data. The normalized data are presented to a clustering algorithm, preferably the fuzzy C-Means clustering algorithm which groups the data into a user-specified number of clusters. The resulting clusters are not affected by human bias or preconceived notions, since the process is independent of prior knowledge of the events. The cluster centroids identify the characteristics of the events and the cluster maps depict the image domains associated with the events. The invention is equally applicable to normal and abnormal events and is capable of detecting expected and unexpected results.
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Scarth Gordon B.
Somorjai R. L.
Battison Adrian D.
Bella Matthew
National Research Council
Thrift Murray E.
Williams Michael R.
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