US4965842A
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Method and apparatus for measuring feature dimensions using controlled dark-field illumination
Assignee: Schlumberger Systems and Services Inc
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Filing: 1987-12-14
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Granted: 1990-10-23
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Expires: 2007-12-14
Abstract
Abstract A method and apparatus for measuring feature dimensions uses selective dark-field illumination to illuminate a target from a single direction at a low angle to the plane of the target. Opposing edges of the target elements are distinguished and captured in separate images. The images are filtered using a Gaussian convolution operator and a Laplacian operator. The signs of the filtered images are correlated at various offsets. The relative displacement of the images which produces the maxium correlation value is used to calculate the average dimension of the target elements.
Inventors
- 👤 P. A. Crossley
- 👤 H. Keith Nishihara
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-29 14:25
CPC Classifications
G; G06; G06T; G06T5/00; G06T5/20
Claims Analysis
Total Claims: 20
Claim 1
Independent Claim
182 words
A method for measuring an average feature dimension of a target, the target comprising a plurality of elements, the method comprising the steps of: illuminating the target from a first direction to scatter light from a first edge of each of the elements; capturing a first image by collecting and focusing the light scattered from the first edges; digitizing the captured first image; illuminating the target from a second direction to scatter light from a second edge of each of the elements; capturing a second image by collecting and focusing the light scattered from a second edges; digitizing the captured second image; correlating the first image with the second image for a selected set of relative image displacements to generate a set of correlation values having a peak value associated with a particular relative displacement of the first and second images; determining the particular relative displacement of the first and second images associated with the peak value; and calculating the average dimension between the first and second edges of the elements using the particular relative displacement of the first and second images.
Claim 2
Independent Claim
182 words
A method for measuring an average feature dimension of a target, the target comprising a plurality of elements, the method comprising the steps of: illuminating the target from a first direction to scatter light from a first edge of each of the elements; capturing a first image by collecting and focusing the light scattered from the first edges; digitizing the captured first image; illuminating the target from a second direction to scatter light from a second edge of each of the elements; capturing a second image by collecting and focusing the light scattered from a second edges; digitizing the captured second image; correlating the first image with the second image for a selected set of relative image displacements to generate a set of correlation values having a peak value associated with a particular relative displacement of the first and second images; determining the particular relative displacement of the first and second images associated with the peak value; and calculating the average dimension between the first and second edges of the elements using the particular relative displacement of the first and second images.
Claim 3
Dependent Claim
72 words
The method of claim 1 wherein the step of illuminating the target from a first direction comprises the step of illuminating the target at a low angle to the plane of the target from a first direction and the step of illuminating the target from a second direction comprises the step of illuminating the target at a low angle to the plane of the target from a direction opposite the first direction.
Claim 4
Dependent Claim
29 words
The method of claim 2 further comprising the steps of: filtering the first and second digitized images to remove some of the higher spatial frequencies before the correlating step.
Claim 5
Dependent Claim
26 words
The method of claim 3 wherein the step of filtering comprises the step of applying a Gaussian convolution operator to the first and second digitized images.
Claim 6
Dependent Claim
52 words
The method of claim 4 wherein the step of filtering further comprises the step of applying a Laplacian operator to the first and second digitized images, whereby the filtering of the first image generates a first set of results and the filtering of the second image generates a second set of results.
Claim 7
Dependent Claim
42 words
The method of claim 5 further comprising storing the signs of the results of filtering the images; and wherein the step of correlating comprises comparing the signs of the first set of results to the signs of the second set of results.
Claim 8
Independent Claim
238 words
A method for measuring an average feature dimension of a target, the target comprising a plurality of elements, the method comprising the steps of: illuminating the target from a first direction to scatter light from a first edge of each of the elements; capturing a first image by collecting and focusing the light scattered from the first edges; digitizing the captured first image; illuminating the target from a second direction to scatter light form a second edge of each of the elements; capturing a second image by collecting and focusing the light scattered from the second edges; digitizing the captured second image; applying a Laplacian operator and a Gaussian convolution operator to the first and second digitized images to generate a first set of results and a second set of results; storing the signs of the results of applying the Laplacian and Gaussian operators; correlating the images by comparing the signs of the first set of results to the signs of the second set of results for a selected set of relative image displacements to generate a set of correlation values having a peak value associated with a particular relative displacement of the first and second images; determining the particular relative displacement of the first and second images associated with the peak value; and calculating the average dimension between the first and second edges of the elements using the particular relative displacement of the first and second images.
Claim 9
Independent Claim
238 words
A method for measuring an average feature dimension of a target, the target comprising a plurality of elements, the method comprising the steps of: illuminating the target from a first direction to scatter light from a first edge of each of the elements; capturing a first image by collecting and focusing the light scattered from the first edges; digitizing the captured first image; illuminating the target from a second direction to scatter light form a second edge of each of the elements; capturing a second image by collecting and focusing the light scattered from the second edges; digitizing the captured second image; applying a Laplacian operator and a Gaussian convolution operator to the first and second digitized images to generate a first set of results and a second set of results; storing the signs of the results of applying the Laplacian and Gaussian operators; correlating the images by comparing the signs of the first set of results to the signs of the second set of results for a selected set of relative image displacements to generate a set of correlation values having a peak value associated with a particular relative displacement of the first and second images; determining the particular relative displacement of the first and second images associated with the peak value; and calculating the average dimension between the first and second edges of the elements using the particular relative displacement of the first and second images.
Claim 10
Independent Claim
197 words
A method for measuring critical dimensions of features in an integrated circuit comprising the steps of: printing a target on a surface of the integrated circuit, the target comprising a plurality of elements; illuminating the target from a first direction to scatter light from a first edge of each of the elements; capturing a first image by collecting and focusing the light scattered from the first edges; digitizing the captured first image; illuminating the target from a second direction to scatter light from a second edge of each of the elements; capturing a second image by collecting and focusing the light scattered from the second edges; digitizing the captured second image; filtering the first and second digitized images; correlating the first and second digitized images for a selected set of relative image displacements to generate a set of correlation values having a peak value associated with a particular relative displacement of the first and second images; determining the particular relative displacement of the first and second images associated with the peak value; and calculating the average dimension between the first and second edges of the elements using the particular relative displacement of the first and second images.
Claim 11
Independent Claim
197 words
A method for measuring critical dimensions of features in an integrated circuit comprising the steps of: printing a target on a surface of the integrated circuit, the target comprising a plurality of elements; illuminating the target from a first direction to scatter light from a first edge of each of the elements; capturing a first image by collecting and focusing the light scattered from the first edges; digitizing the captured first image; illuminating the target from a second direction to scatter light from a second edge of each of the elements; capturing a second image by collecting and focusing the light scattered from the second edges; digitizing the captured second image; filtering the first and second digitized images; correlating the first and second digitized images for a selected set of relative image displacements to generate a set of correlation values having a peak value associated with a particular relative displacement of the first and second images; determining the particular relative displacement of the first and second images associated with the peak value; and calculating the average dimension between the first and second edges of the elements using the particular relative displacement of the first and second images.
Claim 12
Dependent Claim
19 words
The method of claim 8 wherein the target comprises a plurality of elements having a low spatial frequency content.
Claim 13
Dependent Claim
47 words
The method of claim 9 wherein the filtering step comprises: applying a Gaussian convolution operator to the first and second digitized images; and applying a Laplacian operator to the first and second digitized images; thereby generating a first set of results and a second set of results.
Claim 14
Dependent Claim
47 words
The method of claim 10 further comprising the step of storing the signs of the results of applying the Laplacian and Gaussian operators and wherein the correlating step comprises comparing the signs of the first set of results to the signs of the second set of results.
Claim 15
Independent Claim
200 words
An apparatus for measuring an average feature dimension of a target, the target comprising a plurality of elements and the apparatus comprising: illuminating means for illuminating the target from a first and a second selected direction to scatter light from an edge of each of the elements; capture means for capturing a first image by collecting and focusing the light scattered from the edges when the target is illuminated from the first direction and for capturing a second image by collecting and focusing the light scattered from the edges when the target is illuminated from the second direction; means for digitizing at least the first and second captured images; and image processing means coupled to the image acquisition means for: correlating the first image with the second image for a selected set of relative image displacements to generate a set of correlation values having a peak value associated with a particular relative displacement of the first and second images; determining the particular relative displacement of the first and second images associated with the peak value; and calculating the average dimension between the first and second edges of the elements using the particular relative displacement of the first and second images.
Claim 16
Independent Claim
200 words
An apparatus for measuring an average feature dimension of a target, the target comprising a plurality of elements and the apparatus comprising: illuminating means for illuminating the target from a first and a second selected direction to scatter light from an edge of each of the elements; capture means for capturing a first image by collecting and focusing the light scattered from the edges when the target is illuminated from the first direction and for capturing a second image by collecting and focusing the light scattered from the edges when the target is illuminated from the second direction; means for digitizing at least the first and second captured images; and image processing means coupled to the image acquisition means for: correlating the first image with the second image for a selected set of relative image displacements to generate a set of correlation values having a peak value associated with a particular relative displacement of the first and second images; determining the particular relative displacement of the first and second images associated with the peak value; and calculating the average dimension between the first and second edges of the elements using the particular relative displacement of the first and second images.
Claim 17
Dependent Claim
47 words
The apparatus of claim 12 wherein the image acquisition means comprises: a dark-field microscope having an illuminator for illuminating a target at a low angle to the plane of the target; and a sector aperture coupled to the illuminator for illuminating the target from a selected direction.
Claim 18
Dependent Claim
32 words
The apparatus of claim 12 wherein the image processing means further comprises: means for filtering the first and second images to remove some of the higher spatial frequencies before the correlating step.
Claim 19
Dependent Claim
40 words
The apparatus of claim 14 wherein the filtering means comprises: means for applying a Gaussian convolution operator and a Laplacian operator to the first and second images to generate a first set of results and a second set of results.
Claim 20
Dependent Claim
45 words
The apparatus of claim 15 further comprising means for storing the signs of the results of filtering the images; and wherein the correlating means comprises means for comparing the signs of the first set of results to the signs of the second set of results.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1993-10-22 | 1994-04-23 | 1994-10-23 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1997-10-22 | 1998-04-23 | 1998-10-23 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2001-10-22 | 2002-04-23 | 2002-10-23 | $7700.00 | Window Closed / Lapsed |