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Proceedings Paper

SMT stencil automatic registration method based on coordinates distribution analysis
Author(s): Man Luo; Min Xia; Hai Hu; Benxiong Huang
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Paper Abstract

Since the stencil image used for surface mount technology (SMT) always has various defects such as less holes and burrs in the laser processing and imaging, it is indispensable to detect those flaws with high accuracy. An automatic registration lies at the root of identifying defects. In this paper, a novel automatic registration algorithm for stencil images is proposed. According to the distribution probability density of the coordinates of gravity center points in a stencil image, the adaptive parameter DBSCAN clustering algorithm is adopted to classify those points. As a result, we could find corresponding gravity center points (feature points) in the stencil image and its standard design file respectively. A transformation matrix between the stencil image and its standard design file is obtained by the feature points. Experiments have shown that this automatic registration algorithm can be well adapted to the stencil images with random defects.

Paper Details

Date Published: 6 May 2019
PDF: 11 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106917 (6 May 2019); doi: 10.1117/12.2524289
Show Author Affiliations
Man Luo, Huazhong Univ. of Science and Technology (China)
Min Xia, Huazhong Univ. of Science and Technology (China)
Hai Hu, Huazhong Univ. of Science and Technology (China)
Benxiong Huang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

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