Chaotic species based particle swarm optimization algorithms and its application in PCB components detection |
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| Authors: | Na Dong Chun-Ho Wu Wai-Hung Ip Zeng-Qiang Chen Kai-Leung Yung |
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| Affiliation: | 1. School of Electrical Engineering and Automation, Tianjin Unversity, Tianjin 300072, China;2. Department of Industrial and Systems Engineering (ISE),The Hong Kong Polytechnic University, Hung Hom, Kln, Hong Kong, China;3. Department of Automation, Nankai Unversity, Tianjin 300071, China;1. Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance, College of Mechanical and Power Engineering, China Three Gorges University, Yichang, Hubei 443002, People''s Republic of China;2. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Automotive Engineering, Hunan University, Changsha City 410082, People''s Republic of China;3. College of Mathematics and Econometrics, Hunan University, Changsha, Hunan 410082, People''s Republic of China;3. School of Mathematical and Physical Sciences, University of Newcastle, Australia;4. Department of Mathematics, University of West Bohemia, Pilsen, Czech Republic;1. National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China;2. NEC Laboratory, Innovation Plaza, Tsinghua Science Park 1 Zhongguancun East Road, Beijing 100084, China;1. Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA;2. Department of Electrical and Electronics Engineering, Bilkent University, Ankara 06800, Turkey;1. Departamento de Automática y Computación, Universidad Pública de Navarra, E-31006 Pamplona, Spain;2. Departamento de Matemáticas, Universidad Pública de Navarra, E-31006 Pamplona, Spain;3. Department of Economics, University of Connecticut, Storrs, CT 06269-1063, USA;1. Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA 19104, USA;2. Institut de Mathématiques et de Sciences Physiques, B.P. 613, Porto-Novo, Benin;3. Nonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Física, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spain |
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| Abstract: | An improved particle swarm optimizer using the notion of chaos and species is proposed for solving a template matching problem which is formulated as a multimodal optimization problem. Template matching is one of the image comparison techniques. This technique is widely applied to determine the existence, location and alignment of a component within a captured image in the printed circuit board (PCB) industry where 100% quality assurance is always required. In this research, an efficient auto detection method using a multiple templates matching technique for PCB components detection is described. The new approach using chaotic species based particle swarm optimization (SPSO) is applied to the multi-template matching (MTM) process. To test its performance, the proposed Chaotic SPSO based MTM algorithm is compared with other approaches by using real captured PCB images. The Chaotic SPSO based MTM method is proven to be superior to other methods in both efficiency and effectiveness. |
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