The Research Of Mobile Phone Logo Detection Technology Based On Shape Model Matching

The mobile phone logo is on behalf of the mobile phone brand,it represents identity and cultural connotation of a brand. At present, the popular mobile phone logo is sprayed on the product. But because of the processing technology, sometimes the printed logo there is a bad printing, such as dislocation Printings loss Printings wrong Printing and so on. This seriously affect the appearance of mobile phones and the whole image of the logo. Therefore, a Real-time detection of its printing effect in the printing process of mobile phone logo,to ensure it is beautiful and the accuracy of mobile phone brand has very important significance.The detection of mobile phone logo is stay on the level of artificial detection in the world. So widespread slow?missed detection wrong detection artificial damage?high labor costs and so on questions. In recent years, machine vision technology has been rapid development and become more sophisticate. So provides a feasible plan of using visual non-contact detection technology on the quality of the mobile phone logo. Machine vision is to give the machine fitted with the "eyes" do measure and judge, visual technology can quickly and reliably obtain phone information on trademarks, further analysis to make accurate judgments. Compared to manual inspection, this detection technique is fast, impact accuracy, without artificial objective factors, low labor costs, high degree of automation, has very important significance in the practical application of the production process.The election campaign optimization algorithm is a new heuristic global optimization algorithm. It is not affected by initial value in the global scope.It has more initial parallel search mechanism. The election campaign optimization algorithm combined with image template matching can optimize the image matching.The main contents are as follows:First clear the background and significance of this research, and understand learning the detection technology of mobile phone logo. Combining the advantages of machine vision technology, we proposed a mobile phone logo detection system based on shape model matching. Introduces the election campaign optimization algorithm.Introduces the principle of general model matching technology and processes, Introduce and summary the three methods of image shape feature extraction. Analysis of the optimization process of the election campaign optimization algorithm in image matching.Then design the detection system platform, including hardware and software platforms. Study mobile phone logo image preprocessing detection system and associated detection algorithms. Introduce color space conversion, mobile phone case segmentation, image denoising filtering the relevant steps. Combined with HALCON image processing library, analyzed the hierarchical pyramid image search on the shape of the template matching speed, using its relevant operator, design mobile phone logo background color detection, dirt detection, print defect detection algorithms. VS2010 combine with HALCON programming mobile phone logo detection system, using black background Huawei mobile phone to create model. Through different Huawei mobile phone logo products to test and verify the developed mobile phone logo detection systems, and display the output results. Finally compare the HALCON development detection system with Image matching based on the election campaign optimization algorithm on speed.