Title :
Optimal method for correct measurement of Line-edge roughness
Author :
Insun Sun ; Hong Jeong
Author_Institution :
Dept. of Electr. Eng., POSTECH, Pohang, South Korea
Abstract :
This paper present a method to measure Line-edge Roughness in Scanning Electron Microscope images with high accuracy based on the digital image processing. As lithography source will be changed from ArF to Extreme UltraViolet (EUV), this trend increases the importance and difficulty of measuring LER. To measure LER accurately, we use two method; image filtering and Curve-fitting. Every digital image is degraded by several noises, so image filtering removes the specific noise and makes edge point of the image clear. Curve-fitting reduces the quantization error. By combining these two method, proposed algorithm can get high accuracy than existing other methods.
Keywords :
curve fitting; filtering theory; image denoising; quantisation (signal); scanning electron microscopy; ArF; EUV; LER measurement; curve-fitting; digital image degradation; digital image processing; extreme ultraviolet; image edge point; image filtering; lithography source; noise removal; optimal line-edge roughness measurement method; quantization error reduction; scanning electron microscope images;
Conference_Titel :
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-0876-2