IP Library Granted Patent US 7,565,032
Granted Patent B2
US 7,565,032 · App. 11/360,679 · Granted Jul 21, 2009

Image density-adapted automatic mode switchable pattern correction scheme for workpiece inspection

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Quick Facts
Patent No.
US 7,565,032
App. No.
11/360,679
Granted
Jul 21, 2009
Kind
B2
Abstract

An image correction device for use in a pattern inspection apparatus is disclosed, which has automatic adaptability to variations in density of a pattern image of a workpiece being tested. The device is operable to identify a two-dimensional (2D) linear predictive model parameters from the pattern image of interest and determine the value of a total sum of these identified parameters. This value is then used to switch between a corrected pattern image due to the 2D linear prediction modeling and a corrected image that is interpolated by bicubic interpolation techniques. A pattern inspection method using the image correction technique is also disclosed.

Claims (57)

1. A device for correcting a pattern image by use of an inspection reference pattern image of a workpiece being tested and a pattern image under test, said device comprising:

an equation generation unit operative to generate by linear predictive modeling a set of simultaneous equations for the reference pattern image and the under-test pattern image;

a parameter generation unit operative to solve the equations to thereby obtain model parameters;

a parameter sum calculation unit operative to obtain a total sum of model parameters;

a sub-pixel interpolation computing unit operative to perform interpolation against the reference pattern image and the test pattern image to thereby generate a sub-pixel interpolated image;

a sub-pixel shift amount generation unit operative to use the sub-pixel interpolated image to obtain a sub-pixel shift amount for minimization of a deviation error in position between the reference pattern image and the test pattern image;

an error comparison unit operative to compare the parameter sum and a threshold;

a corrected pattern image generation unit operative to use the model parameter to generate a corrected pattern image based on the linear predictive modeling; and

an interpolated image correction unit operative to generate an interpolated corrected image based on interpolation processing.

2. The device according to claim 1 , further comprising:

an image division unit for dividing each of the reference pattern image and the test pattern image into a plurality of regions.

3. The device according to claim 1 , further comprising:

an image division unit for dividing each of the reference pattern image and the test pattern image into a plurality of regions; and

a replacement correction unit for replacing part of the interpolated corrected image at a position corresponding to a divided corrected pattern image with the corrected pattern image.

4. The device according to claim 1 , further comprising:

a monitor unit for storing and monitoring a record history of at least one of the parameter sum and the sub-pixel shift amount.

5. An apparatus for performing pattern inspection by using an inspection reference pattern image of a workpiece being tested and a pattern image under testing, said apparatus comprising:

an equation generation unit operative to generate by linear predictive modeling a set of simultaneous equations for the reference pattern image and the under-test pattern image;

a parameter generation unit operative to solve the equations to thereby obtain model parameters;

a parameter sum calculation unit operative to obtain a total sum of model parameters;

a sub-pixel interpolation computing unit operative to perform interpolation against the reference pattern image and the test pattern image to thereby generate a sub-pixel interpolated image;

a sub-pixel shift amount generation unit operative to use the sub-pixel interpolated image to obtain a sub-pixel shift amount for minimization of a deviation error in position between the reference pattern image and the test pattern image;

an error comparison unit operative to compare the parameter sum and a threshold;

a corrected pattern image generation unit operative to use the model parameter to generate a corrected pattern image based on the linear predictive modeling;

an interpolated image correction unit operative to generate an interpolated corrected image based on interpolation processing; and

a pattern image comparison unit operative to compare the test pattern image to any one of the corrected pattern image and the interpolated corrected image.

6. A method for correcting a pattern image by use of an inspection reference pattern image of a workpiece being tested and a pattern image under test, said method comprising:

generating by linear predictive modeling a set of simultaneous equations for the reference pattern image and the under-test pattern image;

solving the equations to thereby obtain model parameters;

obtaining a total sum of model parameters;

performing interpolation against the reference pattern image and the test pattern image to thereby generate a sub-pixel interpolated image;

using the sub-pixel interpolated image to obtain a sub-pixel shift amount for minimization of a deviation error in position between the reference pattern image and the test pattern image;

comparing the parameter sum and a threshold to find an error therebetween, if any;

when the parameter sum is within the threshold, using the model parameter to generate a corrected pattern image based on the linear predictive modeling; and

when the parameter sum is out of the threshold, generating an interpolated corrected image based on interpolation processing.

7. The method according to claim 6 , further comprising:

storing and monitoring a record history of at least one of the model parameter sum and the sub-pixel shift amount.

8. A method for correcting a pattern image by use of an inspection reference pattern image of a workpiece being tested and a pattern image under test, comprising:

dividing each of the reference pattern image and the under-test pattern image into a plurality of regions;

generating by linear predictive modeling a set of simultaneous equations for the reference pattern image thus divided and the divided test pattern image divided;

solving the equations to obtain model parameters for the plurality of regions;

obtaining a total sum of the model parameters with respect to each of said plurality of regions;

applying interpolation processing to the reference pattern image and the test pattern image in units of sub-pixels to thereby generate a sub-pixel interpolated image;

using the sub-pixel interpolated image to obtain a sub-pixel shift amount for minimization of a deviation error in position between the reference pattern image and the test pattern image;

comparing each model parameter sum to a threshold to determine whether an error is found therebetween;

when every model parameter sum is within the threshold, combining together corrected pattern images as generated by the linear predictive modeling to thereby generate a single corrected pattern image; and

when at least one model parameter sum is out of the threshold, generating an interpolated corrected image based on interpolation processing.

9. A method for performing pattern inspection by using an inspection reference pattern image of a workpiece being tested and a pattern image under testing, comprising:

generating by linear predictive modeling a set of simultaneous equations for the reference pattern image and the under-test pattern image;

solving the equations to thereby obtain model parameters;

obtaining a model parameter sum;

performing interpolation against the reference pattern image and the test pattern image to thereby generate a sub-pixel interpolated image;

using the sub-pixel interpolated image to obtain a sub-pixel shift amount for minimization of a deviation error in position between the reference pattern image and the test pattern image;

comparing the model parameter sum to a threshold to find an error therebetween, if any;

when the model parameter sum is within the threshold, using the model parameter to generate a corrected pattern image based on the linear predictive modeling;

when the model parameter sum is out of the threshold, generating an interpolated corrected image based on interpolation processing; and

comparing the test pattern image to any one of the corrected pattern image and the interpolated corrected image.

Assignments (4)
MERGER AND CHANGE OF NAME Recorded Aug 19, 2021
From: TOSHIBA MEMORY CORPORATION; K.K. PANGEA
To: TOSHIBA MEMORY CORPORATION
Reel/Frame 057224/0091 →
CHANGE OF NAME Recorded Aug 19, 2021
From: TOSHIBA MEMORY CORPORATION
To: KIOXIA CORPORATION
Reel/Frame 057224/0641 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 3, 2018
From: KABUSHIKI KAISHA TOSHIBA
To: TOSHIBA MEMORY CORPORATION
Reel/Frame 045574/0652 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 20, 2010
From: ADVANCED MASK INSPECTION TECHNOLOGY INC.
To: KABUSHIKI KAISHA TOSHIBA; NEC CORPORATION
Reel/Frame 025008/0164 →