ABSTRACT
With the continuous improvement of the current social level and the continuous strengthening of automobile manufacturing technology, automobile production becomes more and more, people are convenient for travel, and the automobile has gradually become the mobility tool for most families. Cars gradually develop and at the same time also brought some bad vendors improper profit opportunities, many problemed radial tires are entered into the market. To ensure security, we need to detect radial tire before outing of factory, for X ray was widely used in tire testing technology, mature technology, electronic components and the detector is more perfect, so using X-ray scanning test, and the scanning image should have preprocessing and BP neural network recognition. Using MATLAB to study tire detection algorithm based on BP neural network. At the same time, designing the GUI interface for human interaction, facilitating user operations, to test requirements.
- Fu Xiao. Application of digital image processing in X-ray detection of automobile tires {D}. Master's thesis of Northeastern University. 2006Google Scholar
- Yuan Peixin, Zhang Xiaohui. Application of digital image processing in tire X-ray detection {J}.CT theory and application research. In 2007, volume 16 (phase 2): 1--2Google Scholar
- Liu Honggui. Research on the detection algorithm of the defect detection of tire X-ray image {J}. Sensor world, 2014,(11):14--18.Google Scholar
- Jacqueline g.m. ertes,Norian Marranghello,Aledir s. Pereira.Real-time Module For Digital Image Processing, Developed on a FPGA{J}. IFAC Volumes, 2013 46--48 (28)Google Scholar
- Kang Tao. Research and design of the detection system based on image processing {D}. Xi 'an university of science and technology, 2005.Google Scholar
- Li Lei. Design of digital image processing system based on MATLAB GUI {D}. Chengdu university of technology, 2012.Google Scholar
Index Terms
- Tire X-ray Detection Method Based on BP Neural Network
Recommendations
Defect Recognition of X-Ray Steel Rope Cord Conveyer Belt Image Based on BP Neural Network
ISCCS '11: Proceedings of the 2011 International Symposium on Computer Science and SocietyBP neural network is used to recognize X-ray steel rope cord conveyer belt image with defect in this paper. Firstly, the model of three layers BP neural network is established, and it is made up of 240 input nodes, 20 hidden layer nodes, and 1 output ...
Research on Method of Double-Layers BP Neural Network in Bicycle Flow Prediction
ICICEE '12: Proceedings of the 2012 International Conference on Industrial Control and Electronics EngineeringThe prediction of bicycle flow is important in intelligent transportation systems in China. This research aimed at using double-layers BP neural network to predict bicycle flow of Jingshi Road in Jinan City. The results of the computer simulation showed ...
A constrained optimization method based on BP neural network
A constrained optimization method based on back-propagation (BP) neural network is proposed in this paper. Taking the maximization of output for example, using unipolar sigmoid function as transfer function, the method presents a general mathematical ...
Comments