Patent ID: 11900586
Assignee: TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY LTD.
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 17:
18. The method according to claim 16, wherein the step of training the machine learning model for classifying the defects from the nuisances with the defect images obtained under the selected optical mode to evaluate the optimal filters for detecting the hot spot defects for the optimal optical mode comprises:
creating the machine learning model with convolution filters for processing the defect images;
feeding a plurality of defect images of the selected optical mode to the machine learning mode to train the machine learning model for classifying the defects from the nuisances in the defect images; and
adopting the convolution filters of the trained machine learning model as optimal filters for detecting the hot spot defects, wherein
the optimal filters are applied to the pixel values of the hot spots of each hot spot group in the corresponding threshold region before performing the automatic thresholding.