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:
May. 18, 2021

Filed:

Apr. 17, 2018
Applicant:

Saudi Arabian Oil Company, Dhahran, SA;

Inventors:

Fatai A. Anifowose, Dhahran, SA;

Mokhles Mustapha Mezghani, Dhahran, SA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/90 (2017.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G06K 9/6218 (2013.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01); G06T 7/90 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/10152 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20152 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30181 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automated analysis of petrographic thin section images. In one aspect, a method includes determining a first image of a petrographic thin section of a rock sample, and determining a feature vector for each pixel of the first image. Multiple different regions of the petrographic thin section are determined by clustering the pixels of the first image based on the feature vectors, wherein one of the regions corresponds to grains in the petrographic thin section. The method further includes determining a second image of the petrographic thin section, including combining images of the petrographic thin section acquired with plane-polarized light and cross-polarized light. Multiple grains are segmented from the second image of the petrographic thin section based on the multiple different regions from the first image, and characteristics of the segmented grains are determined.


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