https://scholars.lib.ntu.edu.tw/handle/123456789/611636
標題: | Reconstructing the 3D solder paste surface model using image processing and artificial neural network | 作者: | Yang F.-C. Kuo C.-H. Wing J.-J. Yang C.-K. CHUNG-HSIEN KUO |
關鍵字: | Automatic optical inspection (AOI);Learning architecture models;Solder paste inspection;Three dimensional (3D) reconstruction;Computer architecture;Computer vision;Feature extraction;Image processing;Image reconstruction;Laser beams;Learning systems;Mathematical models;Three dimensional;Virtual reality;Neural networks | 公開日期: | 2004 | 卷: | 3 | 起(迄)頁: | 3051-3056 | 來源出版物: | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics | 摘要: | In general, the laser Inspection can measure accurate 3D solder paste surface model, however, it is not practical due to the high cost and low inspection speed. This paper presents the three-dimensional (3D) solder paste surface model reconstruction using the image processing and artificial neural network (ANN), and the proposed approach forms the virtual laser 3D automatic optical inspection (AOI) model. The input nodes of the ANN model consist of the image features that are captured from images of using different light sources. The output nodes are the heights of the corresponding image pixel areas. The training patterns of the proposed ANN model use the laser 3D inspection results. Meanwhile, the in-lab design and the commercial coaxial light sources with the pad and sub-area based learning architecture models are constructed and validated, and the estimated 3D surface model achieves 90% accuracy in average. ? 2004 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-15744399883&doi=10.1109%2fICSMC.2004.1400799&partnerID=40&md5=bd469b7edb26a3219b1aea9e641a7a2a https://scholars.lib.ntu.edu.tw/handle/123456789/611636 |
DOI: | 10.1109/ICSMC.2004.1400799 |
顯示於: | 機械工程學系 |
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