Proceedings of the 17th IAPRI World Conference on Packaging (IAPRI 2010 E-BOOK)

Tianjin,China,10.12-10.15,2010

ISBN: 978-1-935068-36-5 Scientific Research Publishing, USA

E-Book 886pp Pub. Date: October 2010

Category: Chemistry & Materials Science

Price: $80

Title: Research on Online Detection Algorithm for Printed Matter Based on Image Processing
Source: Proceedings of the 17th IAPRI World Conference on Packaging (IAPRI 2010 E-BOOK) (pp 298-301)
Author(s): Xiaomei Zhao, Tianjin University of Science & Technology Tianjin, China
Bing Xie, Tianjin University of Science & Technology Tianjin, China
Abstract: Online detection of defects in printed matter has practical significance. In this paper, composition and operating principle of the detection system are introduced. To solve the problem of slow computation speed and low accuracy in image matching, a new approach using adaptive genetic correlation matching algorithm is proposed. Correlation matching method is widely used in image matching, to save computation time adaptive genetic algorithm (AGA) is imported. The advantage of AGA is that the probabilities of crossover and mutation are varied depending on the fitness values, thus improving the performance in searching speed and global convergence. Based on Visual C# software development platform, template image construction module, image registration module and image analysis module are designed finally. Experimental results show that the proposed image registration algorithm has high accuracy in matching and time-consuming is in less than 100ms, which reaches the design requirements of online detection system.
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