Multiscale uniformity analysis of a material

Patent metadata

Field	Value
Publication number	US-9841383-B2
Application number	US-201415032735-A
Country	US
Kind code	B2
Filing date	Oct 16, 2014
Priority date	Oct 31, 2013
Publication date	Dec 12, 2017
Grant date	Dec 12, 2017

Abstract

A method for characterizing the uniformity of a material includes selecting a set of size scales at which to measure uniformity within an area of interest in an image of the material; suppressing features in the image smaller than a selected size scale of interest within the set of size scales; dividing the image into patches equal to the size scale of interest; and calculating a uniformity value within each patch.

First claim

The invention claimed is:

1. A method for characterizing the uniformity of a material, comprising:
selecting a set of size scales at which to measure uniformity within an area of interest in an image of the material;
suppressing features in the image smaller than a selected size scale of interest within the set of size scales;
dividing the image into patches equal to the size scale of interest; and
calculating a uniformity value within each patch.

2. The method of claim 1 , wherein suppressing the features comprises processing the image with a low-pass filter, optionally wherein the low pass filter comprises a box filter with a cutoff frequency equal to a predetermined fraction of the size scale of interest, or a two-dimensional Gaussian kernel.

3. The method of claim 1 , wherein the uniformity value is calculated by determining at least one of a standard deviation, an inter-quartile range (IQR), a median absolute deviation, or an information entropy of a selected characteristic of the patch.

4. The method of claim 3 , wherein the selected characteristic of the patch comprises an intensity of light transmitted through the patch or reflected off a surface of the material comprising the patch.

5. The method of claim 1 , further comprising at least one of calibrating the area of interest prior to removing the features, aggregating the uniformity values of the patches to determine a uniformity value for the area of interest, or aggregating the uniformity values of a selected array of patches within the area of interest to provide an uniformity value for the area of interest.

6. The method of claim 1 , wherein the material is selected from wovens, non-wovens, paper, coatings, polymeric films and combinations thereof.

7. A method for characterizing the uniformity of a material, comprising:
obtaining an image of an area of interest of the material by transmitting light through the material to an optical receiving device;
selecting a graduated set of size scales at which to measure uniformity within the area of interest;
convolving a low-pass filter with the image to suppress features in the image smaller than a selected size scale of interest within the graduated set of size scales;
dividing the image into patches equal to the size scale of interest, wherein the patches each comprise an array of pixels; and
determining a standard deviation of the light intensity in the pixels in the array to calculate a uniformity value within each patch.

8. The method of claim 7 , wherein the low pass filter comprises a box filter with a width equal to a predetermined fraction of the pixels within the array, optionally wherein the low-pass filter replaces a selected pixel in the array with a weighted average of the light intensities of the pixels surrounding the selected pixel, and wherein the weighted average is determined by a two-dimensional Gaussian kernel.

9. The method of claim 7 , further comprising at least one of determining an ideal pixel size for analyzing a selected non-uniformity, and scaling the area of interest to the ideal pixel size prior to removing the features; calibrating the area of interest prior to removing the features, or aggregating the uniformity values of the patches to determine a uniformity value for the area of interest.

10. An apparatus, comprising:
at least one light source illuminating a web of a material;
a camera that captures light transmitted through or reflected from an area of interest on the material to generate an image of the area of interest; and
a processor which, in response to an input of a set of size scales at which to measure uniformity within the area of interest:
convolves a low-pass filter with the image to suppress features in the image smaller than a selected size scale of interest within the set of size scales;
divides the image into patches equal to the size scale of interest, wherein the patches each comprise an array of pixels; and
calculates a uniformity value within each patch.

11. The apparatus of claim 10 , wherein the processor calculates the uniformity value by determining at least one of a standard deviation, an inter-quartile range (IQR), a median absolute deviation, or an information entropy of a light intensity in the pixels in the array.

12. The apparatus of claim 10 , wherein the processor calculates the uniformity value by determining the inter-quartile range (IQR).

13. The apparatus of claim 10 , wherein the low pass filter comprises a box filter with a width equal to a predetermined fraction of the pixels within the array.

14. The apparatus of claim 10 , wherein the low-pass filter replaces a selected pixel in the array with a weighted average of the light intensities of the pixels surrounding the selected pixel, and wherein the weighted average is determined by a two-dimensional Gaussian kernel.

15. The apparatus of claim 10 , wherein the processor further determines an ideal pixel size for analyzing a selected non-uniformity in the material, and scales the area of interest to the ideal pixel size prior to removing the features.

16. The apparatus of claim 10 , wherein the processor calibrates the area of interest prior to removing the features.

17. The apparatus of claim 10 , wherein the processor aggregates the uniformity values of the patches to determine a uniformity value for the area of interest.

18. The apparatus of claim 10 , wherein the processor aggregates the uniformity values of a selected array of patches within the area of interest to provide a uniformity value for the area of interest.

19. The apparatus of claim 10 , wherein the material is selected from non-wovens and polymeric films.

20. The apparatus of claim 19 , wherein the material is a non-woven.

21. The apparatus of claim 10 , wherein the camera captures light transmitted through the area of interest.

22. The apparatus of claim 21 , wherein only scattered light is captured by the camera to form the image.

23. The apparatus of claim 21 , wherein a dark stripe is placed across the light source, and the camera is aimed directly at the dark stripe.

24. An online computerized inspection system for inspecting web material in real time, the system comprising:
at least one light source illuminating a web of a material;
a camera that captures light transmitted through or reflected from an area of interest on the material to generate an image of the area of interest; and
a computer executing software to characterize the uniformity of the material in the area of interest, wherein the computer comprises a processor which, in response to an input of a set of size scales at which to measure uniformity within the area of interest:
convolves a low-pass filter with the image to suppress features in the image smaller than a selected size scale of interest within the set of size scales;
divides the image into patches equal to the size scale of interest, wherein the patches each comprise an array of pixels; and
calculates a uniformity value within each patch.

25. The system of claim 24 , further comprising a memory to store a web inspection model, wherein the computer executes software to compare the uniformity in the area of interest to the model and compute a severity of a non-uniformity defect in the material.

26. The system of claim 24 , further comprising a user interface to output the severity of the defect to a user.

27. The system of claim 24 ,

Assignees

• 3M Innovative Properties Co

Inventors

• Ribnick Evan J
• Ramthun John A
• Miller David D

Classifications

• G01N2021/8427

  Coatings · CPC title

• G01N2201/12

  Circuits of general importance; Signal processing · CPC title

• G06T2207/30124

  Fabrics; Textile; Paper · CPC title

• G01N21/8851

  Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges (G01N21/8806 and G01N21/93 - G01N21/95692 take precedence; optical measurement of dimensions G01B11/00; optical scanning G02B26/10; image transformation G06T3/00; computerised image enhancement G06T5/00; image processing per se for flaw detection G06T7/0002) · CPC title

• G06T5/20

  using local operators · CPC title