Image analysis – Learning systems – Neural networks
Reexamination Certificate
2007-08-07
2007-08-07
Alavi, Amir (Department: 2624)
Image analysis
Learning systems
Neural networks
Reexamination Certificate
active
11474064
ABSTRACT:
Provides quantitative data about a two or more dimensional image. Classifies and counts number of entities an image contains. Each entity comprises a structure, or some other type of identifiable portion having definable characteristics. The entities located within an image may have different shape, color, texture, etc., but still belong to the same classification. Alternatively, entities comprising a similar color/texture may be classified as one type while entities comprising a different color/texture may be classified as another type. May quantify image data according to set of changing criteria and derive one or more classifications for entities in image. I.e., provides a way for a computer to determine what kind of entities (e.g., entities) are in image and counts total number of entities visually identified in image. Information utilized during a training process may be stored and applied across different images.
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Chubb Charles F.
Cotman Carl W.
Cummings Brian
Inagaki Yoshiyuki
Alavi Amir
Dalina Law Group P.C.
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