Chemical purity assessment by image analysis

Patent metadata

Field	Value
Publication number	US-12412309-B2
Application number	US-202218047025-A
Country	US
Kind code	B2
Filing date	Oct 17, 2022
Priority date	Oct 17, 2022
Publication date	Sep 9, 2025
Grant date	Sep 9, 2025

Abstract

Systems and methods include a method for determining the purity of a sample. An image capture is performed of a reference material having a known purity and an unknown material having an unknown purity for which a priori information is known, including that the reference material and the unknown material have a same material type. An image comparison of the reference material and the unknown material is performed to determine a color difference vector between an image of the reference material and an image of the unknown material. A purity of the unknown material is determined using the color difference vector.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
performing, using a color calibration chart and a plurality of illumination sources, a side-by-side image capture of a reference material having a known purity to generate a reference material image and an unknown material to generate an unknown material image, the unknown material having an unknown purity for which a priori information is known, wherein the reference material and the unknown material have a same material type;
performing an image comparison of the reference material image to a first calibration image of the color calibration chart obtained using a first common illumination source of the plurality of illumination sources and comparing a second calibration image of the color calibration chart obtained using a second common illumination source of the plurality of illumination sources to the unknown material image;
determining, based on the image comparison, a color difference vector between the reference material image and the unknown material image; and
determining, using the color difference vector, a purity of the unknown material.

2. The computer-implemented method of claim 1 :
wherein performing the image comparison of the reference material and the unknown material comprises:
comparing the reference material image to the unknown material image; and
determining a color difference vector between the reference material image and the unknown material image.

3. The computer-implemented method of claim 1 , wherein determining the purity of the unknown material comprises comparing a reference color vector of the reference material to an unknown color vector of the unknown material in hue, saturation, value (HSV) space.

4. The computer-implemented method of claim 1 , wherein performing the side-by-side image capture of the unknown material comprises:
defining a viewport smaller than a size of the unknown material and excluding outside edges of the unknown material contributing to potential vignetting; and
capturing the unknown material image within the viewport.

5. The computer-implemented method of claim 1 , wherein determining the purity of the unknown material comprises performing a table look-up using a color vector in a vector-purity table and performing an interpolation on purity values in the vector-purity table.

6. The computer-implemented method of claim 5 , further comprising:
generating the vector-purity table using by adding a known impurity to a sample in steps and recording the color vector at increasing impurity percentage.

7. A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:
performing, using a color calibration chart and a plurality of illumination sources, a side-by-side image capture of a reference material having a known purity to generate a reference material image and an unknown material to generate an unknown material image, the unknown material having an unknown purity for which a priori information is known, wherein the reference material and the unknown material have a same material type;
performing an image comparison of the reference material image to a first calibration image of the color calibration chart obtained using a first common illumination source of the plurality of illumination sources and comparing a second calibration image of the color calibration chart obtained using a second common illumination source of the plurality of illumination sources to the unknown material image;
determining, based on the image comparison, a color difference vector between the reference material image and the unknown material image; and
determining, using the color difference vector, a purity of the unknown material.

8. The non-transitory, computer-readable medium of claim 7 ,
wherein performing the image comparison of the reference material and the unknown material comprises:
comparing the reference material image to the unknown material image; and
determining a color difference vector between the reference material image and the unknown material image.

9. The non-transitory, computer-readable medium of claim 7 , wherein determining the purity of the unknown material comprises comparing a reference color vector of the reference material to an unknown color vector of the unknown material in hue, saturation, value (HSV) space.

10. The non-transitory, computer-readable medium of claim 7 , wherein performing the side-by-side image capture of the unknown material comprises:
defining a viewport smaller than a size of the unknown material and excluding outside edges of the unknown material contributing to potential vignetting; and
capturing the unknown material image within the viewport.

11. The non-transitory, computer-readable medium of claim 7 , wherein determining the purity of the unknown material comprises performing a table look-up using a color vector in a vector-purity table and performing an interpolation on purity values in the vector-purity table.

12. The non-transitory, computer-readable medium of claim 11 , the operations further comprising:
generating the vector-purity table using by adding a known impurity to a sample in steps and recording the color vector at increasing impurity percentage.

13. A computer-implemented system, comprising:
one or more processors; and
a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instructing the one or more processors to perform operations comprising:
performing, using a color calibration chart and a plurality of illumination sources, a side-by-side image capture of a reference material having a known purity to generate a reference material image and an unknown material to generate an unknown material image, the unknown material having an unknown purity for which a priori information is known, wherein the reference material and the unknown material have a same material type;

performing an image comparison of the reference material image to a first calibration image of the color calibration chart obtained using a first common illumination source of the plurality of illumination sources and comparing a second calibration image of the color calibration chart obtained using a second common illumination source of the plurality of illumination sources to the unknown material image;
determining, based on the image comparison, a color difference vector between the reference material image and the unknown material image; and
determining, using the color difference vector, a purity of the unknown material.

14. The computer-implemented system of claim 13 ,
wherein performing the image comparison of the reference material and the unknown material comprises:
comparing the reference material image to the unknown material image; and
determining a color difference vector between the reference material image and the unknown material image.

15. The computer-implemented system of claim 13 , wherein determining the purity of the unknown material comprises comparing a reference color vector of the reference material to an unknown color vector of the unknown material in hue, saturation, value (HSV) space.

16. The computer-implemented system of claim 13 , wherein performing the side-by-side image capture of the unknown material comprises:
defining a viewport smaller than a size of the unknown material and excluding outside edges of the unknown material contributing to potential vignetting; and
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Assignees

• Saudi Arabian Oil Co

Inventors

• Leoni Matteo
• Al-Khaldi Salman J
• Pino Rafael M
• Rojas Juan Carlos

Classifications

• G06T7/0004

  Industrial image inspection · CPC title

• G01N21/293

  with colour charts, graduated scales or turrets · CPC title

• G06T7/90 Primary

  Determination of colour characteristics · CPC title

• G01N21/25 Primary

  Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands · CPC title