Pattern defect detection method
A pattern defect detection method capable of detecting a pattern defect of a semiconductor integrated circuit with higher accuracy is disclosed. The pattern defect detection method includes: extracting an image of an inspection target pattern from an image of a specimen; identifying a reference pattern from design data, the reference pattern having the same shape and the same position as those of the inspection target pattern; calculating a brightness index value indicating a brightness of an entirety of the inspection target pattern; repeating said extracting an inspection target pattern, said identifying a reference pattern, and said calculating a brightness index value, thereby building mass data containing brightness index values of inspection target patterns and corresponding reference patterns; determining a standard range of brightness index value based on the brightness index values contained in the mass data; and detecting a defect of the inspection target pattern based on whether or not the calculated brightness index value is within the standard range.
1. A pattern defect detection method comprising:
generating an image of a specimen with a scanning electron microscope;
detecting edges of an inspection target pattern on the image;
performing pattern matching of the inspection target pattern and a corresponding reference pattern by comparing the detected edges of the inspection target pattern with edges of the reference pattern obtained from design data of the inspection target pattern;
calculating a brightness index value indicating a brightness of an area surrounded by detected edges of the inspection target pattern on the image;
repeating said detecting edges, said performing pattern matching and said calculating a brightness index value, thereby building mass data containing brightness index values of inspection target patterns and corresponding reference patterns;
determining a standard range of brightness index value based on the brightness index values contained in the mass data; and
detecting a defect of the inspection target pattern when the calculated brightness index value is outside the standard range.
2. The pattern defect detection method according to claim 1 , wherein the brightness index value is one selected from a maximum value, a minimum value, a median, an average, and a 3-sigma of brightness levels of all pixels in a region surrounded by edges of the inspection target pattern.
3. The pattern defect detection method according to claim 1 , further comprising:
classifying the inspection target patterns contained in the mass data into groups according to shapes of the reference patterns contained in the mass data,
wherein determining the standard range comprises determining a standard range for each of the groups based on brightness index values contained in the mass data, and
detecting the defect of the inspection target pattern comprises detecting a defect of the inspection target pattern based on whether or not a brightness index value that has been calculated for the inspection target pattern is within the standard range that has been determined for a group to which that inspection target pattern belongs.
4. The pattern defect detection method according to claim 1 , further comprising producing a histogram the brightness index values, a peak point of the histogram being within the standard range.