IMAGE ANALYSIS NEURAL NETWORK SYSTEMS

A method includes obtaining a series of images (503) of a rotating target object (210, 310) through multiple revolutions of the target object (210, 310). The method includes grouping the images (503) into multiple, different sets (502, 504) of images (503). The images (503) in each of the different...

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Bibliographische Detailangaben
Hauptverfasser: BIAN, Xiao, DIWINSKY, David Scott, LIM, Ser Nam
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:A method includes obtaining a series of images (503) of a rotating target object (210, 310) through multiple revolutions of the target object (210, 310). The method includes grouping the images (503) into multiple, different sets (502, 504) of images (503). The images (503) in each of the different sets (502, 504) depict a common portion of the target object (210, 310). At least some of the images (503) in each set (502, 504) are obtained during a different revolution of the target object (210, 310). The method further includes examining the images (503) in at least a first set (502) of the multiple sets (502, 504) of images (503) using an artificial neural network (102) for automated object-of-interest recognition by the artificial neural network (102).