@inproceedings{d01d556cc34e4ab1891da076728992c8,
title = "Fast multi-template matching using a particle swarm optimization algorithm for PCB inspection",
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.",
keywords = "Multi-temple Matching, PCB Inspection, PSO",
author = "Wang, {Da Zhi} and Wu, {Chun Ho} and Andrew Ip and Chan, {Ching Yuen} and Wang, {Ding Wei}",
year = "2008",
month = jul,
day = "21",
doi = "10.1007/978-3-540-78761-7_39",
language = "English",
isbn = "3540787607",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "365--370",
booktitle = "Applications of Evolutionary Computing - EvoWorkshops 2008",
note = "European Workshops on the Theory and Applications of Evolutionary Computation, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog ; Conference date: 26-03-2008 Through 28-03-2008",
}