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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 12499570 B1

PDFFull Text
Date of Patent:
Dec. 16, 2025

Filed:

Jan. 13, 2022

Image processing apparatus, medical image capturing apparatus, image processing method, and storage medium

Applicants:

Canon Kabushiki Kaisha, Tokyo, JP;

Canon Medical Systems Corporation, Tochigi, JP;

Inventors:

Itaru Otomaru, Kanagawa, JP;

Kiyohide Satoh, Kanagawa, JP;

Yuta Narukiyo, Tokyo, JP;

Assignees:

CANON KABUSHIKI KAISHA, Tokyo, JP;

CANON MEDICAL SYSTEMS CORPORATION, Tochigi, JP;

Attorney:

Carter, DeLuca & Farrell LLP

Primary Examiner:

Wen W Huang

Int. Cl.
CPC ...
G06T 7/64 (2017.01); G06N 3/045 (2023.01); G06T 3/02 (2024.01); G06T 3/40 (2024.01); G06T 3/60 (2024.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01); G06T 11/00 (2006.01); G06V 10/22 (2022.01); G06V 10/32 (2022.01); G06V 10/44 (2022.01); G06V 10/75 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/64 (2017.01); G06N 3/045 (2023.01); G06T 3/02 (2024.01); G06T 3/40 (2013.01); G06T 3/60 (2013.01); G06T 7/0012 (2013.01); G06T 7/75 (2017.01); G06T 11/00 (2013.01); G06V 10/235 (2022.01); G06V 10/32 (2022.01); G06V 10/449 (2022.01); G06V 10/752 (2022.01); G06V 10/7747 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20101 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30168 (2013.01); G06T 2210/41 (2013.01);
Abstract

An image processing apparatus comprises: a model obtaining unit configured to obtain a learned model that has learned, based on a position of a predetermined feature point, a contour of a target in an image obtained by capturing the target; an image obtaining unit configured to obtain an input image; a position obtaining unit configured to obtain a position of an input point input on the input image by a user; a normalization unit configured to obtain a normalized image generated by coordinate-transforming the input image such that the position of the input point matches the position of the predetermined feature point in the learned model; and an estimation unit configured to estimate the contour of the target in the input image using the normalized image and the learned model.

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