Abstract
Template matching is one of the image comparison techniques which is widely applied to determine the existence and location of a component within a captured image in the printed circuit board (PCB) industry. In this research, an efficient auto-detection method using a multi-template matching technique for PCB components detection is described. In many cases, the run time of template matching applications is dominated by repeating the similarity calculation, locating multi-templates, and exploring of the optimum result. A new approach using accelerated species based particle swarm optimization (SPSO) for multi-template matching (MTM) is proposed. To test its performance, our proposed SPSO-MTM algorithm is compared with other approaches by using the real captured PCB image. The SPSO-MTM method is proven to be superior to the others in both efficiency and effectiveness. © 2008 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Wang, D. Z., Wu, C. H., Ip, A., Chan, C. Y., & Wang, D. W. (2008). Fast multi-template matching using a particle swarm optimization algorithm for PCB inspection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4974 LNCS, pp. 365–370). https://doi.org/10.1007/978-3-540-78761-7_39
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
