PCB defect detection based on PSO-optimized threshold segmentation and SURF features-Reference-Cited by-同舟云学术

PCB defect detection based on PSO-optimized threshold segmentation and SURF features

Published:2024-04-17 Issue:5 Volume:18 Page:4327-4336
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Chang Yuanpei,Xue Ying,Zhang Yu,Sun Jingguo,Ji Zhangyuan,Li Hewei,Wang Teng,Zuo Jiancun

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11760-024-03075-7.pdf

Reference30 articles.

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3. Khalid, N.K., Ibrahim, Z., Abidin, M.S.Z.: An algorithm to group defects on printed circuit board for automated visual inspection. Int. J. Simul. Syst. Sci. Technol. 9(2), 1–10 (2008)

4. Putera, S.H.I., Ibrahim Z.: Printed circuit board defect detection using mathematical morphology and MATLAB image processing tools. In: 2010 2nd international conference on education technology and computer. IEEE, 5: V5-359-V5-363 (2010)

5. Ibrahim, I., Ibrahim, Z., Khalil, K., et al.: An algorithm for classification of five types of defects on bare printed circuit board. Int. J. Comput. Sci. Eng. Syst. 5(3), 201–208 (2011)

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