Lumber defect scanning including multi-dimensional pattern recog

Image analysis – Applications – Manufacturing or product inspection

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382108, 382110, 348 91, 348 92, 25055918, 25055945, G06K 900

Patent

active

057039607

ABSTRACT:
Grain defect scanning takes into account a broad set of data representing both wood grain structure and wood grain image to provide a multi-dimensional scan vector for an inspection point with wide variation therein relative to defect types. A library of similarly structured multi-dimensional training set vectors developed during a preliminary training session with known defect types is referenced by multivariate pattern recognition analysis to classify a collection of scan vectors associated with an article under inspection. By statistically matching scan vectors with training set vectors under pattern recognition analysis, physical locations on a wood article are identified according to known defect types.

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Brochure-Conference on Scanning Technology, et al Oct. 25-27, 1993 titled "Multivariate Image Analysis, et al".

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