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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.

Patent No.:

US 11620735 B1

PDFFull Text
Date of Patent:
Apr. 04, 2023

Filed:

Dec. 14, 2021

Method for restoring video data of pipe based on computer vision

Applicant:

China University of Mining & Technology, Beijing, Beijing, CN;

Inventors:

Ce Li, Beijing, CN;

Mingcun Liu, Beijing, CN;

Feng Yang, Beijing, CN;

Xu Qiao, Beijing, CN;

Assignee:

CHINA UNIVERSITY OF MINING & TECHNOLOGY, BEIJING, Beijing, CN;

Attorney:

Hoffman Warnick LLC

Primary Examiner:

Tyler W Sullivan

Int. Cl.
CPC ...
G06T 7/44 (2017.01); G06T 7/13 (2017.01); G06V 10/48 (2022.01); G06V 10/36 (2022.01); F16L 55/26 (2006.01); G06T 3/40 (2006.01); G06T 3/60 (2006.01); G06T 5/40 (2006.01); G06T 5/00 (2006.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06V 10/46 (2022.01); G06V 10/44 (2022.01); G06T 5/20 (2006.01); G06T 7/00 (2017.01); G06F 18/10 (2023.01); F16L 101/30 (2006.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); F16L 55/26 (2013.01); G06F 18/10 (2023.01); G06T 3/40 (2013.01); G06T 3/60 (2013.01); G06T 5/008 (2013.01); G06T 5/20 (2013.01); G06T 5/40 (2013.01); G06T 7/0004 (2013.01); G06T 7/13 (2017.01); G06T 7/44 (2017.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06V 10/36 (2022.01); G06V 10/449 (2022.01); G06V 10/462 (2022.01); G06V 10/48 (2022.01); F16L 2101/30 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20061 (2013.01); G06T 2207/30108 (2013.01); G06V 2201/07 (2022.01);
Abstract

A method for restoring video data of a pipe based on computer vision is provided. The method includes: performing gray stretching on pipe image/video collected by a pipe robot; processing noise interference by smoothing filtering; extracting an iron chain from the center of a video image as a template for location; performing target recognition on the center of video data by an SIFT corner detection algorithm; detecting ropes on left and right sides of a target by Hough transform; performing gray covering on the iron chain at the center of the video image and the ropes on two sides; and restoring data by an FMM image restoration algorithm.

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