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:
Nov. 26, 2024

Filed:

Mar. 17, 2020
Applicant:

Nec Corporation, Tokyo, JP;

Inventors:

Yoshimasa Ono, Tokyo, JP;

Akira Tsuji, Tokyo, JP;

Hidemi Noguchi, Tokyo, JP;

Junichi Abe, Tokyo, JP;

Assignee:

NEC CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G01B 11/30 (2006.01); G01C 3/06 (2006.01); G01N 21/956 (2006.01); G01S 17/06 (2006.01); G01S 17/89 (2020.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G01B 11/30 (2013.01); G01C 3/06 (2013.01); G01N 21/956 (2013.01); G01S 17/06 (2013.01); G01S 17/89 (2013.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06T 2207/10028 (2013.01);
Abstract

There is provided a surface abnormality detection device, and a system, capable of detecting an abnormal portion having a displacement below the distance measurement accuracy when detecting the abnormal portion on the surface of a structure. A surface abnormality detection device includes a classification means for classifying an object under measurement into one or more clusters having the same structure, based on position information at a plurality of points on a surface of the object under measurement; a determination means for determining a reflection brightness normal value of the cluster based on a distribution of reflection brightness values at a plurality of points on a surface of the cluster; and an identification means for identifying an abnormal portion on the surface of the cluster based on a difference between the reflection brightness normal value and the reflection brightness value at each of the plurality of points.


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