Applied Mechanics and Materials Vols. 385-386

Abstract: In this paper, an tracking algorithm combing color and LBP texture features based on particle filter is proposed to overcome the disadvantages of existing particle filter object tracking methods. A color histogram and a texture histogram were combined to build the objects reference model, effectively improving the accuracy of object tracking. Experimental results demonstrate that, compared with the method based on single feature, the proposed method is highly effective, valid and is practicable.

Abstract: Based on analyzing and discussing the sand body CT fault image features in tectonic physical simulation experimental sand box, some technical schemes and methods of sand body CT image processing are proposed. By comparing the results of different image enhancement algorithms, image filtering algorithms for sand body CT image processing, the processing accuracy and efficiency of these methods are analyzed. On this basis, aiming at the characteristics of sand body CT sequence images, such as blurs, poor quality and obscure boundary between the layers, an improved template matching algorithm is proposed. The new method can effectively reduce the noise, strengthen the image characteristics, and extract effective sand layer mark lines more integrally.

Abstract: This paper presents a self-adaptive approach to detect the edge of target in a digital image, and the proposed approach is based on eight-direction Isotropic Sobel and OTSU. Simulation experiments in matlab show that the approach can set the threshold value of an image automatically, has high precision in image detection, good connectivity, the uniform image edge magnitude for all directions and suppresses the noise well.

Abstract: with high speed development of the digital image processing technology, and computer image processing technology used in scientific research more and more widely. Mineral, resources and environment, and other fields, image processing technology also has a wide range of applications. This paper is the application of digital image processing techniques to realize to study all the features of ore and automatically recognize ore , pattern recognition method applied to mineral recognition and testing field, so as to achieve the goal of mineral appraisal.

Abstract: Jian-yu Lu has studied a high frame rate (HFR) ultrasound imaging system since 1997. In the system, weighting echo signal by limited diffraction beam spends most of the computing time of imaging algorithm. In the paper the spectrum of HFR ultrasound imaging is analyzed. Combining limited bandwidth properties of image spectrum and the plane wave characteristics of limited diffraction wave, a method, which can improve the efficiency of weighted processing algorithms, is put forward. Simulation results show that it effectively reduces the calculation amount of weighting, meanwhile maintaining image quality.

Abstract: Today the existing image processing systems widely used standard definition resolution. Which is not enough distinct. High definition (HD) and intelligence gradually become the developing trend of the image acquisition and processing system. Motion detection plays an important role in video surveillance system. The sign distribution features will be covered up by the use of the absolute differential image. In this article, a method to determine the motion direction of moving objects by using the sign distribution features in the differential image of two consecutive frames is proposed. To extract the characteristics of the moving object regions,Other parts as the background image is still. The transmission should been stopped, if there is no moving object. These should save storage space and reduce the demand for network speed. Experimental results show that algorithm of the method is suitable for computer processing.

Abstract: Semi-supervised clustering is a method which can improve clustering performance by introducing partial supervised information. This paper mainly studies the semi-supervised fuzzy clustering which introduces Mahalanobis distance and Gaussian Kernel. And we obtain a new semi-supervised fuzzy clustering objective function. By solving the optimization problem, we propose a semi-supervised fuzzy clustering algorithm F-SCAPC which includes F(M)-SCAPC and F(K)-SCAPC. And we do experimental research for proposed algorithm F-SCAPC using the selected standard data set and the artificial data set. Besides, we compare performance of presented algorithm F-SCAPC with AFFC, KFCM-F and SCAPC algorithms. From the results, we can see that F-SCAPC is effective in the convergence speed and the accuracy.

Abstract: When the low-voltage power line is used as a communication line, the channel characteristics have an important impact on the communication quality. In this paper, power distribution networks are divided into three categories. The paper selects a typical power distribution area and uses a rigorous method to test channel attenuation characteristics of the narrowband (50 kHz~500 kHz) carrier. Base on the measurement data, carrier attenuation characteristics are summarized. The measuring method used in the paper and the conclusions of this paper would play a guiding role on the research of the power line carrier communication.

Abstract: The In-Vehicle Network System is a main channel to transmit electronic signals among each automotive node. In order to share the node information from both of chassis and body networks in automobiles, the gateway system is used to realize the communication between CAN and FlexRay systems. In this paper, a modified gateway system based on the node mapping method, the node slotting method, and the corresponding operation algorithm will be proposed. Through the modified gateway system, repeated remodifying problems are solved that is changes of information or ID during transmitting information between CAN and FlexRay systems. Additionally, improvements in the reliability and the amalgamation of the In-Vehicle Network System are shown in this paper.

Abstract: Walfisch - Bertoni model is used to predict the average signal field intensity of the main street. The model considers the path loss of the free space, diffraction loss along the path, and the influence of the height of the building. There are six City parameters in Walfisch - Bertoni model influence communication quality. In this paper, the researches about path loss and its characteristics is under the case of considering two city parameters at the same time. Facts have proved that this case is more close to the actual that the wireless signal propagation environment. This paper mainly researched the path loss, probability density function (PDF) and cumulative distribution function (CDF) of the path loss.