Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24381
Title: Research on Printing Defects Inspection of Solder Paste Images
Authors: Qi, M
Yin, T
Cheng, G
Xu, Y
Meng, H
Wang, Y
Cui, S
Keywords: solder paste inspection;image interpolation;solder paste area detection;connected domain labeling
Issue Date: 25-Mar-2022
Publisher: Hindawi Limited
Citation: Qi, M. et al. (2022) 'Research on Printing Defects Inspection of Solder Paste Images", Wireless Communications and Mobile Computing', 2022, Article ID 8651956, pp. 1 - 9. doi: 10.1155/2022/8651956.
Abstract: Copyright © 2022 Min Qi et al. Solder paste printing is the first part of the surface mount process flow; its postprinting defect inspection is particularly important. In this paper, we focus on studying the printing defects inspection algorithm for solder paste on PCB (Printed Circuit Board) images. +e work proposes a number of methods to enhance the defects inspection performance of solder paste printing: a regional multidirectional data fusion image interpolation method, which can achieve fast and high precision image interpolation; a method for detecting solder paste areas with better accuracy, efficiency, and robustness; an improved connected domain labeling method to reduce time complexity; and defects detection and types classification method, which extracts features and centroid of every solder paste region and completes the inspection by comparing with a standard image. +e experiments show that the defects inspection algorithm can detect the most common types of defects with low time consumption, high inspection accuracy, and classification accuracy.
Description: Data Availability: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
URI: https://bura.brunel.ac.uk/handle/2438/24381
DOI: https://doi.org/10.1155/2022/8651956
ISSN: 1530-8669
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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