US 12,405,229 B2
Radiographic image processing method, trained model, radiographic image processing module, radiographic image processing program, and radiographic image processing system
Toshiyasu Suyama, Hamamatsu (JP); and Tatsuya Onishi, Hamamatsu (JP)
Assigned to HAMAMATSU PHOTONICS K.K., Hamamatsu (JP)
Appl. No. 17/918,397
Filed by HAMAMATSU PHOTONICS K.K., Hamamatsu (JP)
PCT Filed Apr. 14, 2021, PCT No. PCT/JP2021/015489
§ 371(c)(1), (2) Date Oct. 12, 2022,
PCT Pub. No. WO2021/210618, PCT Pub. Date Oct. 21, 2021.
Claims priority of application No. 2020-073578 (JP), filed on Apr. 16, 2020.
Prior Publication US 2023/0136930 A1, May 4, 2023
Int. Cl. G01N 23/04 (2018.01); G01N 23/083 (2018.01); G01N 23/087 (2018.01); G01T 1/208 (2006.01)
CPC G01N 23/04 (2013.01) [G01N 23/083 (2013.01); G01N 23/087 (2013.01); G01T 1/208 (2013.01); G01N 2223/04 (2013.01); G01N 2223/1016 (2013.01); G01N 2223/401 (2013.01); G01N 2223/5015 (2013.01); G01N 2223/505 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10121 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20182 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A radiographic image processing method comprising:
acquiring a radiographic image of a jig, the radiographic image of the jig is acquired by using a system that radiates radiation to a target object and captures an image of the radiation passing through the target object;
specifying image characteristics of the radiographic image of the jig;
selecting a trained model on a basis of the image characteristics of the radiographic image of the jig from a plurality of trained models, each of the plurality of trained models, constructed using image data of one or more training images, through a machine training in advance;
acquiring a radiographic image of the target object using the system; and
executing an image processing for removing noise from the radiographic image of the target object using the selected trained model.