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Proceedings Paper

Study on defect detection of IC wafer based on morphology
Author(s): Alin Hou; Wen Zhou; Guangming Cui; Dongcheng Shi; Kun Xu; Lihong Zhang; Jie Liu
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Paper Abstract

With the development of the micro-processing, silicon material technique, the silicon structural design, mass production, the scientific researches on integrated circuit have been developed rapidly. Defect detection and fault diagnosis as critical design requirements is necessary to achieve high-quality, cost-effective multichip systems. An increasingly difficult task, however, is the inherent need to accurately locate, indentify the defects within the microchip. A method of defect detection of IC wafer have been investigated using mathematical morphology. Firstly, the differential charts of the pending images and the intact image of IC wafer are computed and digitized to two gray levels, i.e. black and white. Secondly, the brightness of the pending images have been transformed to the same brightness as that of intact image in order to make the arithmetics is robust for various illumination conditions. Next, the defects on the binary image of differential chart can be found and dealt with mathematical morphology. Finally, several representative characteristics are proposed to extract and describe the defects of IC wafer image, for example perimeter, area, macro axis, minor axis, eccentricity ratio, centroid, circularity and rectangular degree, etc.

Paper Details

Date Published: 29 November 2007
PDF: 6 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 683334 (29 November 2007); doi: 10.1117/12.759560
Show Author Affiliations
Alin Hou, Changchun Univ. of Technology (China)
Wen Zhou, Changchun Univ. of Technology (China)
Guangming Cui, Changchun Univ. of Technology (China)
Dongcheng Shi, Changchun Univ. of Technology (China)
Kun Xu, Changchun Univ. of Technology (China)
Lihong Zhang, Changchun Univ. of Technology (China)
Jie Liu, Changchun Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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