METHOD OF VISUALIZING DEFECT USING DESIGN DATA AND DEFECT DETECTION METHOD
A method of visualizing a defect of a pattern constituting a semiconductor device with a high accuracy in a wide range is disclosed. The method of visualizing a defect, includes: generating pattern images with a scanning electron microscope; superimposing the pattern images while aligning positions of patterns in the pattern images; calculating a variance of gray level over the pattern images for each of inspection areas on the patterns; creating a false-color image by color-coding the inspection areas according to magnitude of the variance; and displaying the false-color image.
1 . A method of visualizing a defect, comprising:
generating pattern images with a scanning electron microscope;
superimposing the pattern images while aligning positions of patterns in the pattern images;
calculating a variance of gray level over the pattern images for each of inspection areas on the patterns;
creating a false-color image by color-coding the inspection areas according to magnitude of the variance; and
displaying the false-color image.
2 . The method of visualizing a defect according to claim 1 , wherein the inspection areas are established in advance based on shape of the patterns contained in a design data.
3 . The method of visualizing a defect according to claim 1 , wherein at least one of the inspection areas is an area on an edge of the patterns.
4 . A defect detection method comprising:
generating pattern images with a scanning electron microscope;
superimposing the pattern images while aligning positions of patterns in the pattern images;
producing data of gray levels for each of inspection areas on the patterns by obtaining gray levels over the pattern images for each of the inspection areas;
determining threshold values corresponding respectively to the inspection areas, based on the data of gray levels;
comparing a gray level of each one of pixels in the inspection areas with a corresponding threshold value of the threshold values;
applying a first color to pixels having gray levels higher than the threshold value, and applying a second color to pixels having gray levels lower than the threshold value, thereby generating a binary image; and
detecting a pattern defect by detecting connected pixels of the first color whose number is equal to or greater than a set number.
5 . The defect detection method according to claim 4 , wherein each of the threshold values is determined based on a quartile range or a standard deviation of the data.