Plate Test Based On ARM Embedded Systems And Image Processing

In recent years, the printing industry is a new area to development, the development trend of the small volume, variety and quality direction. Users of print products with increasingly stringent quality requirements, followed by the printing quality inspection technology research and system development, have become a hot topic of international trade. Printing quality testing technology is not only the quality of the data of the printing and the printing industry a solid foundation for standardized, and the automatic control of the printing technology is also necessary to follow through the processing chain. Especially into the past few years, with the acceleration of the printing press in the printing process, such as over use of certain techniques do not detect and eliminate faults, it means that will produce large amounts of waste and defects, therefore, quality inspection system is a set of people associated with the development of the printing quality requirements came into being.In this area there has been a substantial amount of research abroad. But their products do not suited our printing materials and printing machines cause of the uncertainty of the printing quality. Due to geographical conditions and different quality of the humanities, making foreign goods quality inspection system imported to China cannot be to maximize the advantages of the printing industry, and our country cannot keep up the level of foreign countries. Therefore, for our specific conditions and the existing level of development of related technologies to develop more efficient and higher-quality print quality inspection system is the responsibility of China's printing industry!In this paper, we make a research about the Design and Implementation of the print density detection methods based on ARM embedded system. And to build chips based on ARM embedded LINUX operating system. Use embedded CMOS image acquisition (OV511 + OV7620) camera chip USB as the image acquisition equipment to achieve image acquisition function and digital image processing technology to solve block-image segmentation and other processing in order to carry out the calculation of the rate of dot area, and reach the realization of the print density detection. Printing based on embedded systems density detection will enable the printing process of testing the density of digitization, automation, systematic, in order to further improve the printing quality guaranteed. Focus on the issue of printing quality printing density detection. Detection of the printing density of embedded systems to explore, as well as the model of the system design and implementation, in order to further prepare the printing quality.The main works in this thesis are:1. Demand for research and needs analysis: After a lot of books and information access and in-depth site visits printing, print quality inspection system on the demand and needs analysis research, and the system's technical and economic feasibility of a comprehensive analysis, while print quality detection and processing aspects of research and business processes, and make requirements specification.2. Technology and algorithm description: As the system a lot of technical professionals for non-image is very strange, so the main thesis of the image detection techniques have been described and analyzed. Including image segmentation, binary image of the two methods. The system algorithms involved in grayscale image processing algorithms, image binarization algorithm.3. Design: According to the technical characteristics of RAM, the system was constructed based on ARM chip embedded LINUX operating system, with embedded CMOS image acquisition (OV511 + OV7620) camera chip USB device as an image capture of image acquisition. Re-use digital image processing technology to solve the printed version of the image segmentation (binarization), and other processing to the printed version of the calculation of dot area, dot density of the plate to achieve the function of detection.4. Systems analysis, summary and outlook: the speed of the system and database security analysis, summary of existing work, and the future work of the vision.