Method of characterizing a surface texture and texture characterization tool

Patent metadata

Field	Value
Publication number	US-12229976-B2
Application number	US-202318214344-A
Country	US
Kind code	B2
Filing date	Jun 26, 2023
Priority date	Mar 15, 2019
Publication date	Feb 18, 2025
Grant date	Feb 18, 2025

Abstract

The present disclosure relates generally to evaluating the surfaces of a building. The present disclosure relates more particularly to a method of characterizing a surface texture of a building surface. The method includes illuminating a first area of the building surface from a single direction and capturing an image of the first area using a camera while the first area is illuminated. The first image includes a first group of digital pixel values. The method further includes calculating a first set of values that characterize a first surface texture of the first area based on a first group of digital pixel values of the image, and comparing the first set of values to a second set of values that characterize a second surface texture, so as to produce a comparator value.

First claim

What is claimed is:

1. A method of preparing a building surface, the method comprising:
providing a comparator value or an assessment indicator that is based on the comparator value with respect to a first area of the building surface, wherein the comparator value is provided by a method comprising
receiving a first image of the first area captured while the first area is illuminated by a light source from a single direction, the first image including a first group of digital pixel values;
calculating a first set of values that characterize a first surface texture of the first area based on the first group of digital pixel values; and
comparing the first set of values to a second set of values that characterize a second surface texture, so as to produce a comparator value; and

responsive to the comparator value or assessment indicator, modifying a first section of the building surface that includes the first area.

2. The method according to claim 1 , wherein the first area of the building surface is disposed within 4 inches of a joint between two wall boards.

3. The method according to claim 1 , wherein the method for providing the comparator value comprises;
receiving a second image of a second area of the building surface while the second area is illuminated by the light source from the single direction, the second image including a second group of digital pixel values,
wherein the second set of values is calculated from the second group of digital pixel values.

4. The method according to claim 1 , wherein modifying the first section of the building surface includes sanding the building surface.

5. The method according to claim 1 , wherein modifying the first section of the building surface includes covering the first section of wall with a coat of paint.

6. The method according to claim 1 , wherein an assessment indicator is provided, and wherein the assessment indicator is based on a target surface texture quality.

7. The method according to claim 6 , wherein the assessment indicator is a Boolean value.

8. The method according to claim 6 , wherein the assessment indicator is a numerical value.

9. The method according to claim 6 , wherein the assessment indicator includes a qualitative value.

10. The method according to claim 1 , wherein an instruction message based on the comparator value is provided, the instruction message including instructions for further finishing of the first section of the building surface, and wherein modifying the first section of the building surface includes following the instructions.

11. The method according to claim 1 , wherein calculating the first set of values includes using an autocorrelation function, where each of the first set of values corresponds to an offset distance between the image and an offset copy of the image used in autocorrelation function.

12. The method according to claim 11 , wherein the comparator value is a difference between an extremum value of the first set of values and an extremum value of the second set of values.

13. The method according to claim 12 , wherein the comparator value is a difference between the offset corresponding to an extremum value of the first set of values and the offset corresponding to an extremum value of the second set of values.

14. The method according to claim 11 , wherein the comparator value is a cumulative difference between the first set of values and the second set of values.

15. The method according to claim 1 , wherein calculating the first set of values includes determining a percentage of the digital pixel values of the first image that have a brightness within a first brightness range.

16. The method according to claim 1 , wherein calculating the first set of values includes identifying shapes within the first group of pixels defined by a brightness range.

17. The method according to claim 1 , wherein an angle between the direction of illumination and an optical axis extending from the focal point of a camera with which the image is captured to the surface is in the range of 60-87 degrees.

18. The method according to claim 1 , wherein an angle between the direction of illumination and an optical axis extending from the focal point of a camera with which the image is captured to the surface is in the range of 70-85 degrees.

19. The method according to claim 1 , wherein an angle between the direction of illumination and an optical axis extending from the focal point of a camera with which the image is captured to the surface is in the range of 80-85 degrees.

20. The method according to claim 1 , wherein the second set of values is selected from a group of stored sets of values based on surface texture or surface finish requirements.

Assignees

• Certainteed Gypsum Inc

Inventors

• Pytel Rachel Z
• Wijesooriya Sidath S
• Mazoyer Simon
• Dubost Brice

Classifications

• G06V10/20

  Image preprocessing · CPC title

• G06V10/56

  relating to colour · CPC title

• G06V10/141

  Control of illumination · CPC title

• G06T2207/30184

  Infrastructure · CPC title

• G06T7/40

  Analysis of texture (depth or shape recovery from texture G06T7/529) · CPC title