Title :
The Design of Wafer Defects Marking System Based on Machine Vision
Author :
Zhou, Juan ; Jiang, Dengfeng
Author_Institution :
Coll. of Quality & Safety Eng., China Jiliang Univ., Hangzhou, China
Abstract :
Several studies were carried out to improve the efficiency of wafer test based on machine vision. The configuration and work flow of system were introduced and each segment was described. The edge image of wafer was extracted from the preprocessed image of wafer and least square method was adopted to gain the wafer diameter firstly. Then, the coordinate of the wafer defects was got through coordinate transformation, and the coordinate was transferred to the probe machine. Finally, the wafer with defects was eliminated by the probe machine. Experiments show that the system exhibits good performance.
Keywords :
computer vision; fault diagnosis; integrated circuit testing; least squares approximations; coordinate transformation; edge image; least square method; machine vision; preprocessed image; probe machine; wafer defects marking system; wafer diameter; wafer test; Image edge detection; Least squares methods; Maximum likelihood detection; Noise; Nonlinear filters; Transforms;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5677802