杨洁

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:数学科学学院

学科:计算数学

办公地点:大连理工大学数学科学学院505

联系方式:0411-84708351-8205

电子邮箱:yangjiee@dlut.edu.cn

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Artificial intelligent matching for scratches of semiconductor wafers based on a K-NN algorithm

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论文类型:期刊论文

发表时间:2019-06-01

发表刊物:SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES

收录刊物:SCIE

卷号:7

期号:2

ISSN号:2051-672X

关键字:semiconductor wafer; K-NN algorithm; scratches; matching

摘要:Scratches, those usually generated during polishing the silicon wafer surface, are one of the major yield loss factors in semiconductor manufacturing industry. In order to determine the source of the scratches in real time and reduce the yield loss, it is critical for manufacturers to match and identify the same type of scratches automatically. In this paper, an improved K nearest neighbors (KNN) algorithm to address this issue is presented. Firstly, a skeleton extraction method is used to depict the main lines of scratches. Then the clustering protocol is applied as a preliminary step to group these main lines so that some essential endpoints features of main lines, such as distance, slope and curvature, can be extracted. During feature extraction, a dynamic coordinate system is introduced and this greatly reduces the distortions arise due to the magnitude of tangent difference. An intelligent matching of similar scratches MSML-KNN algorithm is formulated. The experimental results show that the proposed matching method for wafer scratches has a good adaptability and robustness.