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Proceedings Paper

Approach based on visual recognition cylindrical ceramic resistance detection system
Author(s): Shaobin Ren; Yuanzong Li
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Paper Abstract

Ceramic substrate is an important substrate of electronic components, the traditional detection methods rely on manually. Since the product is small size, light weight and a huge amount of testing in the detection process without the stability and accuracy of the reliable guarantee. Detect small objects at the same time as artificial, easily fatigue. In this paper, machine vision images for recognition. According to the characteristics of product samples to design a complete detection system, related to verification by the laboratory. Practical results show that the method be applied to other products of similar quality small automatic detection.

Paper Details

Date Published: 19 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200Z (19 August 2010); doi: 10.1117/12.867580
Show Author Affiliations
Shaobin Ren, Taiyuan Univ. of Technology (China)
Yuanzong Li, Taiyuan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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