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Abstract

Aspects of the present disclosure provide systems, methods, and computer-readable storage media that leverage image processing to determine fibrillation within pulp. Size and shape analysis, such as adaptive thresholding and binarization, may be performed on an image of pulp to determine a fiber area of fibers included in the image. Edge detection and morphological image processing may be performed on a plurality of sub-images of the pulp to determine a count of edges of fibrils included in the image and a sum of grey levels associated with the fibrils, respectively. A degree of fibrillation of the pulp may be determined based at least partially on the fiber area, the count of edges, and the sum of grey levels. Local statistical analysis and a Hough transform may be used to improve accuracy of the degree of fibrillation or to distinguish fibers from fibril clusters and fibrils within the image.

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First Claim