Image analysis – Learning systems – Neural networks
Patent
1996-01-29
1998-05-12
Boudreau, Leo
Image analysis
Learning systems
Neural networks
382274, 348221, 396 49, G06K 962
Patent
active
057518440
ABSTRACT:
In an image acquisition system, which produces at least one image, each of which is scorable with reference to at least one image quality criterion, a control system is provided for optimizing the image quality criterion. Typically, the image quality criterion is at least in-part established by an exposure parameter. When considered as an apparatus, the present invention includes a number of components which cooperate together to automatically and continually adjust the value of the exposure parameter to optimize the image quality criterion. An image acquisition means is provided to obtain one or more acquired images under selected exposure characteristics. A transform system is provided for receiving the one or more acquired images and developing an energy distribution map, or histogram, of at least a portion of the one or more acquired images. A neural network means is provided for maintaining a learned relationship between the image quality criterion and the exposure parameter, and for receiving the energy distribution map of the one or more acquired images, and for automatically providing a corrected exposure parameter, so that subsequent acquired images will be obtained under optimal settings of the exposure parameter. A controller member is provided for supplying corrected exposure parameters, which are the output of the neural network means, to the image acquisition means.
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Bolin Mark Robert
Kishi Gregory Tad
McIntosh Michael Philip
Boudreau Leo
Bumgardner Barry J.
Dillon Andrew J.
International Business Machines - Corporation
Kelley Chris
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