US 12,222,300 B2
Radiographic inspection method, radiographic inspection apparatus, radiographic inspection system, and radiographic inspection program
Tatsuya Onishi, Hamamatsu (JP); and Toshiyasu Suyama, Hamamatsu (JP)
Assigned to HAMAMATSU PHOTONICS K.K., Hamamatsu (JP)
Appl. No. 17/918,168
Filed by HAMAMATSU PHOTONICS K.K., Hamamatsu (JP)
PCT Filed Apr. 5, 2021, PCT No. PCT/JP2021/014554
§ 371(c)(1), (2) Date Oct. 11, 2022,
PCT Pub. No. WO2021/210442, PCT Pub. Date Oct. 21, 2021.
Claims priority of application No. 2020-073550 (JP), filed on Apr. 16, 2020.
Prior Publication US 2023/0128795 A1, Apr. 27, 2023
Int. Cl. G01N 23/04 (2018.01); G06V 10/25 (2022.01); G06V 10/75 (2022.01)
CPC G01N 23/04 (2013.01) [G06V 10/25 (2022.01); G06V 10/751 (2022.01); G01N 2223/423 (2013.01); G06T 2207/20104 (2013.01)] 29 Claims
OG exemplary drawing
 
1. A radiographic inspection method comprising:
acquiring a first image in which an article is imaged in a state of being irradiated with a radiation having a first energy distribution, and a second image in which the article is imaged in a state of being irradiated with a radiation having a second energy distribution different from the first energy distribution;
receiving an input of selection of a region of interest which is a region corresponding to a substance in which an influence of a thickness is eliminated in a region corresponding to the article in the first image or the second image;
specifying respective first pixel values of a plurality of first pixels in a region corresponding to the region of interest in the first image and respective second pixel values of a plurality of second pixels corresponding to the plurality of first pixels in the second image, and calculating a function for expressing a relationship between the first pixel values and the second pixel values which is a thickness correction function for eliminating an influence of the thickness of the substance by approximating a relationship between the first pixel values and the second pixel values corresponding to the first pixel values;
calculating a plurality of pieces of representative data each of which is a combination of a first representative value which is a representative pixel value of the first image and a second representative value which is a representative pixel value of the second image on the basis of the respective first pixel values of the plurality of first pixels and the respective second pixel values of the plurality of second pixels corresponding to the plurality of first pixels; and
calculating an evaluation coefficient based on a correlation between the thickness correction function and the plurality of pieces of calculated representative data,
wherein in calculating the plurality of pieces of representative data, each of the plurality of pieces of representative data is calculated
by having one of the first pixel values as the first representative value and having a median value of one or a plurality of pixel values of the second pixel values corresponding to the one of the first pixel values as the second representative value, or
by having one of the second pixel values as the second representative value and having a median value of one or a plurality of pixel values of the first pixel values corresponding to the one of the second pixel values as the first representative value.