Substrate defect inspection method, computer readable storage medium, and defect inspection apparatus
In the present invention, data on a substrate image picked up by an image pickup unit is outputted to a difference calculation unit where a difference image from a normal substrate is calculated. A synthesis calculation unit calculates a synthesized image by rotating the difference image 360 degrees by every predetermined angle about the center of the substrate and synthesizing the images. A Zernike calculation unit digitizes the synthesized image by a Zernike polynomial and outputs a concentric circle component to a determination unit where the component is compared with a previously set threshold value, so that the presence or absence of a defect on the substrate is determined. The present invention can facilitate the determination of the presence or absence of a macro defect on the substrate and reduce the time required for the determination.
1. A method of inspecting a substrate for a defect, comprising the steps of:
obtaining a difference image between an image of a normal substrate and an image of an inspection object;
rotating the difference image 360 degrees by every predetermined angle about a center of the substrate, and synthesizing the difference image before the rotation and the difference image after the rotation so that each pixel value of the image after the synthesis is increased;
digitizing using a Zernike polynomial the image obtained by the synthesis;
determining the presence or absence of a defect on the substrate based on a Zernike value of a concentric circle component out of Zernike values digitized by the Zernike polynomial; and
outputting information indicative of the determination whether the defect is absent or present.
2. The method as set forth in claim 1 , wherein the predetermined angle is equal to or less than 10 degrees.
3. The method as set forth in claim 1 , wherein the difference image is a color image, and the presence or absence of a defect on the substrate is determined based on the Zermike value of the concentric circle component of at least one of R, G, and B out of the Zernike values digitized by the Zernike polynomial.
4. The method as set forth in claim 1 , wherein the difference image is a color image, and the presence or absence of a defect on the substrate is determined based on the Zernike values of the concentric circle components of all of R, G, and B out of the Zernike values digitized by the Zernike polynomial.
5. The method as set forth in claim 1 , wherein the difference image is a monochrome image.
6. The method as set forth in claim 1 , wherein the defect on the substrate is defocus during exposure processing.
7. The method as set forth in claim 1 , wherein the defect on the substrate is uneven application of a resist formed on the substrate.
8. A computer readable storage medium storing a program for causing a computer to execute a substrate defect inspection method,
said defect inspection method comprising the steps of:
obtaining a difference image between an image of a normal substrate and an image of an inspection object;
rotating the difference image 360 degrees by every predetermined angle about a center of the substrate, and synthesizing the difference image before the rotation and the difference image after the rotation so that each pixel value of the image after the synthesis is increased;
digitizing using a Zernike polynomial the image obtained by the synthesis;
determining the presence or absence of a defect on the substrate based on a Zernike value of a concentric circle component out of Zernike values digitized by the Zernike polynomial; and
outputting information indicative of the determination whether the defect is absent or present.
9. A defect inspection apparatus for inspecting a substrate for a defect, comprising:
a stage mounting the substrate thereon and movable in an X-direction and a Y-direction:
an image pickup unit for picking up an image of the substrate on said stage;
a difference calculation unit for calculating an absolute value of a difference between image data obtained by said image pickup unit and previously stored image data on a normal substrate, and outputting data on a difference image based on the difference absolute value;
a synthesis calculation unit for rotating the difference image obtained by said difference calculation unit about a center of the substrate, and synthesizing the rotated difference images to obtain a synthesized image;
a Zernike calculation unit for digitizing the synthesized image obtained by said synthesis calculation unit by a Zernike polynomial; and
a determination unit for comparing data outputted from said Zernike calculation unit with a previously set threshold value.
10. The defect inspection apparatus as set forth in claim 9 , wherein the difference image is a color image, and wherein said determination unit compares a Zernike value of a concentric circle component of at least one of R, G, and B out of the Zernike values digitized by said Zernike calculation unit, with a previously set threshold value.
11. The defect inspection apparatus as set forth in claim 9 , wherein the difference image is a color image, and wherein said determination unit compares Zernike values of concentric circle components of all of R, G, and B out of the Zernike values digitized by said Zernike calculation unit, with previously set threshold values.