Applied Mechanics and Materials Vols. 462-463

Abstract: This paper proposes a novel adaptive integrated navigation filtering method based on autoregressive moving average (ARMA) model and generalized autoregressive conditional heteroscedasticity (GARCH) model. The main idea in this study is to employ ARMA/GARCH model to estimate statistical characteristics of filtering residual series online, namely, the conditional mean and conditional standard deviation, and then the filter parameters are adaptively adjusted based on forecasted results of ARMA/GARCH model in order to improve the reliability of the system when there are abnormal disturbance and other uncertain factors in real condition. On this basis, experiment is used to verify the validity of the method. The simulation results demonstrate that the ARMA/GARCH model can well capture the unusual condition of GPS receiver output, and this adaptive filtering method can effectively improve the reliability of the system.

Abstract: Object: To optimize the rigidity registration algorithm between X-ray fluoroscopy and CT, and improve the accuracy of registration. Method: By changing the transmission parameters of the ray tracing, it can obtain the original DRR images and the float DRR image for registration. In trials, it uses ant colony algorithm as the optimized search strategy and Mutual information as the similarity measure. Result: ant colony algorithm and the improved ant colony algorithm compared to the classic Powell algorithm to improve the accuracy of registration about 10% and 20%, achieved good results. Conclusion: Ant Colony Algorithm as optimization search strategy can effectively solve the local minima problem in 2D-3D medical image registration, and further improve the accuracy of registration.

Abstract: With the rapid development of multimedia technology and internet, video surveillance technology has been widely applied to various fields of people's daily life, and it is important to study the application of video surveillance in intelligent traffic . Object: The design is for traffic video monitoring, and the traffic lights can be controlled through the video processing technology. Studying the relevant information obtained from the traffic video, the traffic lights can be controlled. Step: First, use the improved frame difference method, which is called as finite difference method, to pick up moving vehicle. Then, remove the noise using dilation and corrosion algorithm, which belong to mathematical morphology operation. Finally, count the vehicle data using the virtual loop method, and return the traffic flow information which acts as reference information of traffic lights controlling.

Abstract: The traditional vibration signal de-noising method has the disadvantage of inefficiency and incomplete information acquisition.The signal processing method based on mathematical morphology has the advantage of simple calculation, good in real time, little time delay, and can help filter while maximizing retention the basic characteristics of the signal analysis process. This article is based on mathematical morphology dilation, erosion, opening and closing the four basic operations, carried out the vibration signal de-noising processing, simulation and experimental results show that the method is effective and practical.

Abstract: A self-adaptive blind watermarking algorithm based on transform domain was proposed by combining lifting wavelet transform with fuzzy cluster analysis. Lifting wavelet transform were used to obtain the low frequency subgraph efficiently. In low frequency subgraph, FCM and HVS were combined to divide the texture region for embedding watermark. And the watermark image was encrypted by chaotic map. Contrastive attacking experiments show that this algorithm has preferable transparency and robustness, and can resist various types of attacks effectively.

Abstract: To improve PSNR and coding efficiency, the paper proposes a method by improving algorithm according to image compression technology to pledge the real time of the image transmission and gain the high compression ratio under the image quality. The improved SPIHT image coding algorithm based on fast lifting wavelet transform presents fast lifting wavelet transform to improve transform course, because of many consecutive zero appearing in SPIHT quantification coding, adopting the simultaneous encoding of entropy and SPIHT. Entropy coding adopts run-length-changeable coding. Proved by the experiment, the method could achieve expected purpose, can apply in the image data transmission and storage of remote image surveillance systems.

Abstract: A new smoothing approximate function of the FischerBurmeister function is given. A modified smoothing Newton method based on the function is proposed for solving a kind of nonlinear complementarity problems. Under suitable conditions, the global convergence of the method is proved. Numerical results show the effectiveness of the method.

Abstract: The location of the sound source is an important technique for equipment failures diagnostic application. This paper design a specific fault sound location system for capturing the specific sound source and determine its orientation. The two functions of sound recognition and location system are combined. The frequency domain characteristics based on similarity calculation method is used to identify the sound signal. The source localization algorithm based on the time delay estimation is used to calculate the time difference of arrival sound signal. By method of combining hardware circuit preprocessing and software design, the orientation of positioning of sound source is determined by the known sound pickup arrays spatial position. The sound location system uses two piece of MCU to achieve its function with simplification efficient algorithm and high accuracy.

Abstract: In view of the problem that in traditional copper strip surface defect inspection process, the low resolution of the collected images will greatly decrease the accuracy of the detect defects, through the study of biological bionic imaging technology, combined with insect bionic compound eye imaging technology, this paper proposes a visual simulation insects bionic mechanism of the copper strip surface defect image super-resolution reconstruction technique. Through the study of biological bionic imaging technology, and take the advantage of insect compound eye visual imaging mechanism, this paper uses multiple linear array CCD image sensors to collect images aimed at getting defect images in all perspectives. The actual input images are restored by the method of super-resolution reconstruction using the sample library to improve the resolution of the image. Through the large amount of experiments of different copper strip surface defect images, and then compare the results, it can be seen that taking this papers method to dispose the defect images, will improve the images PSNR value, and has greatly improved the images quality, which will do good to improve the accuracy of the copper strip surface defect detection.

Abstract: Image mosaic is a wide perspective to create high resolution for image processing, computer graphics and new field of interdisciplinary research. According to the fact that the real-time performance of Harris feature mosaic algorithm is poor, this paper proposes an improved Harris algorithm based on feature point mosaic of principal component analysis to reduce the dimensionality of the feature points. The algorithm constructs feature descriptors with the feature points, and then uses PCA to reduce the dimension of feature vector descriptor to improve the real-time of the algorithm. Experimental results show that the algorithm can realize the underwater image mosaic and improve the real-time performance of the algorithm.