Parallel processing method and system for identifying valid obje

Image analysis – Histogram processing – With a gray-level transformation

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382170, 382172, G06K 900

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056088205

ABSTRACT:
The present invention relates to a parallel processing image analysis method and system for identifying objects in a background by generating a description, which may be either a histogram or co-occurrence matrix, of the gray level space of the image by using an entropic kernel to recursively analyze the gray level space for candidate objects and validating the presence of valid objects by comparing the candidate object attribute values to a defined set of valid object attribute values contained in a driver. The method may be used in a wide variety of industrial inspection techniques, including colony counting and the identification of discrete features in carpets and of pigment elements embedded in a polymer.

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