Apparatus and method for measuring caliper of creped tissue paper based on a dominant frequency of the paper and a standard deviation of diffusely reflected light including identifying a caliper measurement by using the image of the paper

• US 9,303,977 B2
• Filed: 03/21/2014
• Issued: 04/05/2016
• Est. Priority Date: 10/17/2013
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Kellomki, Markku, Paavola, Antti
• Primary Examiner(s): Le, Que T
• Application Number:
  US14/222,251
• Publication Number:
  US 20150108375A1
• Time in Patent Office: 746 Days
• Field of Search: 250/221, 250/559.4, 250/559.27, 250/208.1, 356/71, 356/430, 271/265.04, 382/141, 382/145, 382/149, 382/151, 162/109, 162/111, 162/113
• US Class Current: 1/1
• CPC Class Codes: G01B 11/06 for measuring thickness ; e.g. of sheet material thickness measurement by thermal means G01B21/085
• CPC Class Codes: G01B 11/303 using photoelectric detection means

Abstract

A method includes, using at least one processing device, obtaining an image of a web of creped tissue paper and identifying a caliper measurement of the web using the image. The caliper measurement is based on a dominant frequency of the web and a standard deviation of diffusely-reflected light from the web. The dominant frequency of the web can be based on a number of crepe folds having a dominant crepe fold size that fit within a specified unit distance of the web in the image. The dominant crepe fold size can be determined using a discrete auto-covariance function of the image or a second image of the web. The standard deviation can be based on a variation of reflected light from larger crepe structures in the web.

Claims

1. A method comprising:

using at least one processing device;

obtaining an image of a web of creped tissue paper; and

identifying a caliper measurement of the web using the image, the caliper measurement based on a dominant frequency of the web and a standard deviation of diffusely-reflected light from the web.

2. The method of claim 1, further comprising:

identifying the dominant frequency of the web based on a dominant crepe fold size of the web within the image.

3. The method of claim 2, further comprising:

identifying the dominant crepe fold size of the web based on a discrete auto-covariance function of the image or a second image of the web.

4. The method of claim 3, wherein identifying the dominant crepe fold size of the web comprises:

identifying a first positive local maximum of the discrete auto-covariance function, the discrete auto-covariance function comprising points associated with positive numbers of whole pixels, the first positive local maximum of the discrete auto-covariance function identified at one of the points;

fitting a polynomial curve to the point associated with the first positive local maximum and one or more neighboring points; and

identifying a number of whole and fractional pixels associated with a maximum of the polynomial curve.

5. The method of claim 2, wherein identifying the dominant frequency of the web comprises:

identifying a number of crepe folds having the dominant crepe fold size that fit within a specified unit distance of the web in the image.

6. The method of claim 2, further comprising:

identifying the standard deviation of the diffusely-reflected light from the web based on a variation of reflected light from larger crepe structures in the web.

7. The method of claim 6, wherein identifying the caliper measurement of the web further comprises using a formula of:

8. The method of claim 7, further comprising:

adjusting at least one of the Macro Crepe and Folds_pul values based on at least one of uneven illumination and tilt of the web.

9. The method of claim 1, further comprising:

performing optical, geometrical, or statistical corrections of the image.

10. An apparatus comprising:

at least one memory configured to store an image of a web of creped tissue paper; and

at least one processing device configured to identify a caliper measurement of the web using the image based on a dominant frequency of the web and a standard deviation of diffusely-reflected light from the web.

11. The apparatus of claim 10, wherein the at least one processing device is further configured to identify the dominant frequency of the web based on a dominant crepe fold size of the web within the image.

12. The apparatus of claim 11, wherein the at least one processing device is further configured to identify the dominant crepe fold size of the web based on a discrete auto-covariance function of the image or a second image of the web.

13. The apparatus of claim 12, wherein the at least one processing device is configured to identify the dominant crepe fold size of the web by:

identifying a first positive local maximum of the discrete auto-covariance function, the discrete auto-covariance function comprising points associated with positive numbers of whole pixels, the first positive local maximum of the discrete auto-covariance function identified at one of the points;

fitting a polynomial curve to the point associated with the first positive local maximum and one or more neighboring points; and

identifying a number of whole and fractional pixels associated with a maximum of the polynomial curve.

14. The apparatus of claim 11, wherein the at least one processing device is configured to identify the dominant frequency of the web by identifying a number of crepe folds having the dominant crepe fold size that fit within a specified unit distance of the web in the image.

15. The apparatus of claim 11, wherein the at least one processing device is further configured to identify the standard deviation of the diffusely-reflected light from the web based on a variation of reflected light from larger crepe structures in the web.

16. The apparatus of claim 15, wherein the at least one processing device is configured to identify the caliper measurement of the web further comprises using a formula of:

17. A non-transitory computer readable medium embodying a computer program, the computer program comprising computer readable program code for:

obtaining an image of a web of creped tissue paper; and

identifying a caliper measurement of the web using the image based on a dominant frequency of the web and a standard deviation of diffusely-reflected light from the web.

18. The computer readable medium of claim 17, wherein the computer readable program code for identifying the caliper measurement comprises computer readable program code for:

identifying a first positive local maximum of a discrete auto-covariance function of the image or a second image of the web, the discrete auto-covariance function comprising points associated with positive numbers of whole pixels, the first positive local maximum of the discrete auto-covariance function identified at one of the points;

fitting a polynomial curve to the point associated with the first positive local maximum and one or more neighboring points;

identifying a number of whole and fractional pixels associated with a maximum of the polynomial curve, the number of whole and fractional pixels representing a dominant crepe fold size of the web; and

identifying a number of crepe folds having the dominant crepe fold size that fit within a specified unit distance of the web in the image;

wherein the dominant frequency of the web is based on the number of crepe folds having the dominant crepe fold size that fit within the specified unit distance of the web.

19. The computer readable medium of claim 18, wherein the computer readable program code for identifying the caliper measurement further comprises computer readable program code for:

identifying the standard deviation of diffusely-reflected light from the web based on a variation of reflected light from larger crepe structures in the web.

20. The computer readable medium of claim 19, wherein the computer readable program code for identifying the caliper measurement further comprises computer readable program code for using a formula of: