The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 16, 2016

Filed:

Apr. 04, 2014
Applicant:

Centre DE Recherche Industrielle Du Quebec, Quebec, CA;

Inventors:

Richard Gagnon, Quebec, CA;

Jean-Pierre Couturier, Quebec, CA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); G06T 2207/10152 (2013.01); G06T 2207/30161 (2013.01); G06T 2207/30164 (2013.01);
Abstract

Methods and apparatus for filtering noise of low frequency from an image of the surface characteristics of an object expressed with reference to orthogonal first and second axis and obtained with linear light scanning, involve calculating a difference between pixel values of an image column vector along the second axis adjacent a selected reference image column vector and respective pixel values of the selected reference image column vector to obtain a pixel difference vector. The pixel difference values not mainly associated with a corresponding atypical change of surface characteristics as compared with noise are then selected, and a mean value from the selected pixel difference values are calculated as an estimated value of the noise. The estimated noise value are subtracted from the adjacent image column vector to obtain a corrected image column vector. The calculations are repeated using the corrected image vector as the reference image column vector and a further adjacent image column vector to obtain further corrected image column vectors, from which a noise filtered image is generated.


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