发明名称 Adaptive Local Threshold and Color Filtering
摘要 Methods and systems for detecting defects on a wafer using adaptive local thresholding and color filtering are provided. One method includes determining local statistics of pixels in output for a. wafer generated using an inspection system, determining which of the pixels are outliers based on the local statistics, and comparing the outliers to the pixels surrounding the outliers to identify the outliers that do not belong to a cluster of outliers as defect candidates. The method also includes determining a value for a difference in color between the pixels of the defect candidates and the pixels surrounding the defect candidates. The method further includes identifying the defect candidates that have a value for the difference in color greater than or equal to a predetermined value as nuisance defects and the defect candidates that have a value for the difference in color less than the predetermined value as real defects.
申请公布号 US2015043804(A1) 申请公布日期 2015.02.12
申请号 US201414450170 申请日期 2014.08.01
申请人 KLA-Tencor Corporation 发明人 Huang Junqing;Lee Hucheng;Wu Kenong;Gao Lisheng
分类号 G06T7/00;G06T7/40 主分类号 G06T7/00
代理机构 代理人
主权项 1. A computer-implemented method for detecting defects on a wafer, comprising: determining local statistics of pixels in output for a wafer generated using an inspection system; determining which of the pixels are outliers based on the local statistics; comparing the outliers to the pixels surrounding the outliers to identify the outliers that do not belong to a cluster of outliers as defect candidates; determining a value for a difference in color between the pixels of the defect candidates and the pixels surrounding the defect candidates; identifying the defect candidates that have a value for the difference in the color that is greater than or equal to a predetermined value as nuisance defects; and identifying the defect candidates that have a value for the difference in the color that is less than the predetermined value as real defects, wherein determining the local statistics, determining which of the pixels are the outliers, comparing the outliers, determining the value for the difference in the color, identifying the defect candidates as the nuisance defects, and identifying the defect candidates as the real defects are performed by a computer system.
地址 Milpitas CA US