US 12,394,025 B2
Image generation device, image generation method, and learned model generation method
Shota Oshikawa, Kyoto (JP); and Wataru Takahashi, Kyoto (JP)
Assigned to SHIMADZU CORPORATION, Kyoto (JP)
Appl. No. 17/281,781
Filed by Shimadzu Corporation, Kyoto (JP)
PCT Filed Sep. 27, 2019, PCT No. PCT/JP2019/038168
§ 371(c)(1), (2) Date Mar. 31, 2021,
PCT Pub. No. WO2020/075531, PCT Pub. Date Apr. 16, 2020.
Claims priority of application No. 2018-191880 (JP), filed on Oct. 10, 2018.
Prior Publication US 2021/0398254 A1, Dec. 23, 2021
Int. Cl. G06T 5/73 (2024.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01)
CPC G06T 5/73 (2024.01) [G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30101 (2013.01)] 7 Claims
OG exemplary drawing
 
1. An image generation device comprising:
a learning image generation unit configured to generate, based on three-dimensional data having three-dimensional pixel value data, a two-dimensional training input image in an area including a specific portion of a subject and a training output image that is an image showing the specific portion or an image excluding the specific portion at the same angle of view as the training input image;
a noise addition unit configured to add the same noise to the training input image and the training output image;
a learning unit configured to learn a learning model for extracting or removing the specific portion by performing machine learning based on the training input image to which the noise has been added and the training output image to which the noise has been added; and
an image generation unit configured to generate, from a captured image including the specific portion, an image from which the specific portion has been extracted or removed, using a learned learning model,
wherein the noise addition unit is configured to add noise adjusted based on noise of an imaging result that captured an image to the training input image and the training output image.