Aiming at the problems that the traditional Canny operator can not protect the edge pixels of Gaussian filter, the point interference of non-human contours is obvious, and the fixed high and low threshold is limited, an improved Canny operator is proposed for the extraction of human contours. Firstly, bilateral filtering is used to replace Gauss filtering to protect image edge; The foreground and background are segmented by the ROI region to eliminate the interference from the background; Then Otsu method (algorithm) is used to calculate the adaptive threshold, and finally better results are obtained by fine-tuning the threshold value. Through experiments, the average accuracy of the improved Canny operator reaches 91.15% in the extraction of human contours, which is more accurate than the traditional Canny operator.
KEYWORDS: Virtual reality, Databases, Device simulation, 3D modeling, Process control, Java, Internet technology, Computer simulations, Volume rendering, Software development
Under the background of the epidemic in recent years, teachers and students are forced to carry out teaching online. Therefore, it is proposed to build an AVR virtual simulation network teaching platform. On this platform, Proteus Software is applied to simulate the hardware circuit controlled by AVR single chip microcomputer; Apply ICCAVR software to compile and download the program. With this method, teachers and students can complete the teaching and learning of AVR single chip microcomputer course online. Teachers can arrange personalized learning tasks on the platform level by level, and students can complete them one by one from easy to difficult. Teachers can help students solve problems in the simulation process through remote control. During the period of the epidemic, It turns out this new teaching mode has stimulated students' interest and improved their learning efficiency.
KEYWORDS: 3D modeling, Numerical simulations, Chemical elements, Polarization, Power supplies, Finite element methods, Electromagnetic coupling, Dielectric polarization, Resistance, Numerical analysis
Spectrum induced polarization method is mainly used for geological survey according to the difference of conductivity and polarization of medium. Combined with the needs of national strategic development, this paper studies the three-dimensional finite element numerical simulation method of complex resistivity based on generalized equivalent dielectric induced polarization (GEMTIP) model. This method has been widely used in resource exploration, engineering geology and other fields. First, the GEMTIP model and the complex resistivity variation characteristics of GEMTIP model under the influence of different parameters was introduced. Then, the variation equations were established for two-point sources of 3D modeling of complex resistivity method. The computing area was divided into hexahedral elements. The complex potential and the complex conductivity of rocks within each triangular lattice were described by a linear interpolation to create a linear equations system from the variation equation. The BICGSTAB (Bi-conjugate gradient stabilized method) algorithm with incomplete LU decomposition for preconditioning was used to solve the system linear equation to calculate the anomalous complex potential of all nodes and the apparent complex resistivity on the surface. Finally, this approach was verified through the calculations of a two layered model. Two typical geoelectric models were designed to test the correctness and efficiency of the algorithm. The results show that it provides new way to further study the induced polarization effect of rock and ore on the acroscopic scale.
Researchers have begun to pay greater attention to anthropometric measures as technology advances, and measurement technology has switched from contact to non-contact measurement, with non-contact measurement technology increasingly being used in the apparel industry. This paper analyzes, compares, and summarizes 2D non-contact measurement methods. The individual methods of image acquisition, contour recognition, feature point extraction, and dimension fitting for 2D non-contact measurement are introduced. The non-contact body dimension measurement based on computer vision is proposed and initially applied to the body dimension measurement of automotive seats.
KEYWORDS: Signal to noise ratio, Spectrum analysis, Fourier transforms, Error analysis, Digital signal processing, Electronic filtering, Analytical research
In the field of digital signal analysis and processing, discrete spectrum analysis is always an inevitable research topic. Signal period estimation plays an important role in improving the accuracy of spectrum analysis. When we perform truncation analysis on the signal, it is inevitable that the signal will be truncated by non-integral period, resulting in spectrum leakage. In this paper, we study the spectrum leakage law, obtain the leakage law of spectrum leakage attenuating by Gaussian function approximately along the frequency direction, and propose the minimum energy leakage period estimation method based on autocorrelation. The experimental results show that the algorithm is simple and can estimate the period of the signal when the signal-to-noise ratio is -10dB, which has strong anti-noise characteristics.
In view of the current higher requirements for comfort issues such as adaptive car seat adjustment, human size measurement technology is gradually improving in China. In this paper, combined with the non-contact measurement technology method, a body size measurement system based on image processing is proposed. It combines image processing methods such as open pose human pose estimation and edge detection, and achieves the advantages of simple algorithm, fast processing speed and high accuracy, the error rate is 0.19125, to prepare for the self-adaptive car seat adjustment system, and also to provide a reliable reference for further improving the measurement method of human body size.
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