Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28269
Title: Fast multi-template matching using a particle swarm optimization algorithm for PCB inspection
Authors: Wang, DZ
Wu, CH
Ip, A 
Chan, CY 
Wang, DW
Keywords: Multi-temple matching
PCB inspection
PSO
Issue Date: 2008
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2008, v. 4974 lncs, p. 365-370 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: European Workshops on the Theory and Applications of Evolutionary Computation, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, 26-28 March 2008
URI: http://hdl.handle.net/10397/28269
ISBN: 3540787607
9783540787600
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-540-78761-7_39
Appears in Collections:Conference Paper

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