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检索条件"机构=Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systemsy"

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Extraction of Color Characteristics of Pesticide Detection Card Based on Machine Vision

Extraction of Color Characteristics of Pesticide Detection C...

引用

第三十八届中国控制会议

作者： fang Jin xin Tu kaifeng Dong junlei Song wenqin Mo School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In this paper, aiming at the pesticide residue in water resources, considering the necessity of rapid detection on site,a method based on machine vision for pesticide residue detection is proposed. The method combines machine vision and image processing technology to quickly extract the RGB three-component eigenvalues of the pesticide residue detection card. Each RGB channel has 256 brightness levels, which can overcome the shortcomings of low brightness level and indistinct image,and improve the accuracy of detection. The results show that the method is simple,fast and efficient, it is suitable for quickly extracting the characteristic values of pesticide residue detection cards.

关键词： Machine vision pesticide residue detection RGB color space

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Spectral Reflectance Reconstruction Based on Spectral Optimization of Light Source

Spectral Reflectance Reconstruction Based on Spectral Optimi...

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第三十八届中国控制会议

作者： Hui Jiang Xin Wang Jing-Jing Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

As a unique property of the object surface, the spectral reflectance plays an important role in computer vision applications and in realistic material reproduction. To determine the influence of the light source on the spectral reflectance reconstruction accuracy, the pseudo-inverse method is adopted to reconstruct the spectral reflectance. Further, the genetic algorithm is used to optimize the light source for improving the reconstruction accuracy. The experiment results show that the spectral reflectance reconstruction accuracy is highly affected by the light source spectra, and the light source spectra optimized by the proposed strategy significantly outperforms several commonly used illumination source.

关键词： Spectral Reflectance Reconstruction Genetic Algorithm Pseudo Inverse Operation

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Synchronization of a Class of Discrete-Time Nonlinear Singularly Perturbed complex Networks

Synchronization of a Class of Discrete-Time Nonlinear Singul...

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第三十八届中国控制会议

作者： Yongzhi Li Yuqing Li Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In this paper, the problem of synchronization is investigated for a class of discrete-time nonlinear singularly perturbed complex networks(SPCNs). A slow sampling discrete-time nonlinear SPCN model is first devised, which includes the slow and the fast states as well as the general sector-like nonlinear functions. By utilizing the Kronecker product, a new Lyapunov function dependent on singular perturbation parameter(SPP) is constructed. A sufficient condition in terms of linear matrix inequalities(LMIs) is derived under which the discrete-time nonlinear SPCN is globally asymptotically synchronized. When these LMIs have feasible solutions, the global asymptotic synchronization is ensured and the upper bound of the SPP is evaluated. A numerical example is given to illustrate the effectiveness of our results.

关键词： complex networks Synchronization Singularly perturbed systems Discrete-time systems

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High Precision Tuning Device of Microwave Cavity Filter Based on Hand-eye Coordination

High Precision Tuning Device of Microwave Cavity Filter Base...

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第三十八届中国控制会议

作者： Chaolong Yao Yan Yuan Jie Li Leyu Bi School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Based on the structure and dynamic tuning characteristics of the microwave cavity filter, the method of vision assisting mechanical arm motion is used for tuning. In order to meet the flexibility and high precision requirements of the microwave cavity filter tuning system, the thesis improves image recognition and hand-eye coordination methods. Image recognition using Otsu method for image segmentation, the relative 3 d position coordinates of the target screw are obtained by edge fitting circle and image sharpness, and the screw angle was extracted by dynamically obtaining the screw groove thread area, which was used to improve the applicability and accuracy of screw positioning and thread angle extraction. The hand-eye coordination part proposes a hand-eye coordination method based on image feedback. Through the feedback of the image, the PID control robot arm is continuously moved to make the screw center and the image center overlap to achieve hand-eye coordination. The experimental results show that compared with the traditional hand-eye calibration method, the method takes less time and has lower hand-eye coordination error, which greatly improves the flexibility and precision of the tuning system. Based on the improved method of image recognition and hand-eye coordination, it can realize accurate and fast tuning of microwave cavity filter, and it also has certain guiding significance for the tuning of similar industrial equipment.

关键词： hand-eye coordination microwave cavity filter image positioning visual feedback

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Restore the Incomplete Calligraphy Based on Style Transfer

Restore the Incomplete Calligraphy Based on Style Transfer

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第三十八届中国控制会议

作者： Mengxi Qin Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Calligraphy is an important humanistic symbol of Chinese civilization. However, most of the calligraphy is incomplete, which has only a small number of Chinese characters circulating in the world. How to use these samples to efficiently restore the remaining calligraphy characters has always been considered as a difficult task. In this work, we propose Densenetpix2 pix model based style transfer method to solve this problem. By training some samples to learn the rules of transferring the printed font images to the calligraphy characters images, Densenet-pix2 pix can predict the remaining calligraphy characters. Our method modify the generation network and optimization strategies of style transfer, which improves the generation quality of the calligraphy characters and the stability of the model. In addition, we use pre-trained feature extraction models to extract content information and style information, and scientifically evaluate the quality of our generated calligraphy characters from these two aspects. We compared our method with several other baseline methods. The experimental results show that our method can effectively restore the remaining calligraphy characters, and the generated Chinese characters are more delicate.

关键词： Calligraphy characters Style transfer Restore Generation

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Hidden-Markov-model-based finite-time fault detection for networked singularly perturbed systems

Hidden-Markov-model-based finite-time fault detection for ne...

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第三十八届中国控制会议

作者： Jiankang Li Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In this paper, the problem of finite-time fault detection(FD) is investigated for networked discrete-time singularly perturbed systems under the stochastic communication protocol(SCP). To alleviate the undesired data collisions caused by largescale data transmissions via the bandwidth-limited communication network, the SCP modeled by a Markov chain is *** to practical factors such as observation error, the Markov modes of the SCP are assumed to be available to the fault detection filter(FDF) according to a hidden Markov process. Our aim is to design a hidden-Markov-model-based FDF as the residual generator such that the resulting augmented system is stochastically H∞ finite-time bounded. A sufficient condition in terms of linear matrix inequalities(LMIs) is derived which ensures the existence of such an FDF. The parameters of the desired FDF are explicitly given when there exist feasible solutions to these LMIs. Finally, the effectiveness of the FD method is demonstrated by a numerical example.

关键词： Finite-time fault detection Singularly perturbed systems Hidden Markov model Stochastic communication protocol

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Design of Surface Magneto-Optical Kerr Effect Automatic Measurement System Based on LabVIEW

Design of Surface Magneto-Optical Kerr Effect Automatic Meas...

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第三十八届中国控制会议

作者： Laizhe Zhu Kaifeng Dong Fang Jin Junlei Song Wenqin Mo School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

It is of great significance for accurate and fast magnetic measurement of high magneto-crystalline anisotropy film materials. In this paper, an surface magneto-optical Kerr effect automatic measurement system based on LabVIEW is designed according to the practical requirements of hysteresis loop measurement of magnetic films. The system takes the SR830 lock-in amplifier as core, combined with virtual instrument technology and correlative detection technology, which achieves the effective measurement of the weak Kerr signal of Ni Fe soft magnetic film material under strong noise environment, and automatically draws its hysteresis loop. The measurement system has high resolution, high output signal-to-noise ratio, high automation, and has good application value.

关键词： SMOKE hysteresis loop virtual instrument LabVIEW lock-in amplifier

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On Ground Penetrating Radar Imaging Method Based on Compressed Sensing in Multi-target Environment

On Ground Penetrating Radar Imaging Method Based on Compress...

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第三十八届中国控制会议

作者： Guangjun Wang Chengyong Ma Jianjin Jiang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Recently, compressed sensing(CS) has been widely used in ground penetrating radar(GPR) imaging due to its low sampling time, high quality performance and high quality imaging results in underground imaging. However, for densely distributed underground multi-target, the error of GPR imaging based on CS is large. So, this paper proposes a filter matrix,which can effectively reduce the energy of B-scan hyperbolic arms, increase the hyperbolic apex energy, and reduce the error of GPR imaging based on CS in densely distributed multi-target environment. The algorithm also takes into account the distance between the antenna and the ground. At first, a method of the normalized is used to calculate the echo data. Then the filter matrix designed in this paper is used. Experimental results present that the filter matrix can effectively reduce the imaging error in multi-target environment.

关键词： Compressed sensing(CS) underground imaging ground penetrating radar(GPR) multi-target

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Bolt positioning method based on active binocular vision

Bolt positioning method based on active binocular vision

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第三十八届中国控制会议

作者： Xu Jian Xin Chen Zhe Xiao Yipu Sun School of Automation China University of Geoscience Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

We propose a position and posture measurement method based on active binocular vision to improve localization accuracy and stability of bolts in substation fittings. Firstly, we obtain the color image and the depth image of bolts and use shape-based template matching method to obtain the image coordinates of the bolts. Secondly, we obtain the 3 D coordinates of the bolts based on the binocular camera stereo vision model. Finally, based on the point-cloud information of bolts plane, we obtain the posture information of the bolts by using the least square method. The experimental results show that the binocular system designed in this paper can accurately identify the bolts and has good stability. Within 500 mm measurement range, the position measurement error rate of bolts is less than 0.8 %, and the angle measurement error of the fitting plane is less than 1°.

关键词： Substation fittings Bolt localization Active binocular vision Least squares method

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Target tracking algorithm based on convolutional neural network and particle filtering

Target tracking algorithm based on convolutional neural netw...

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第三十八届中国控制会议

作者： Lijun Zhang Peng Chen Hui Guo Shun Huang Wei Xia Cong Hu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Aiming at the phenomenon that the target particle tracking algorithm is affected by illumination changes and occlusion in the target tracking process, the goal is lost. A target tracking algorithm based on convolutional neural network and particle filtering is proposed. The algorithm uses the convolutional neural network to automatically learn the depth features of the target,and extracts the more abstract semantic information of the target. The semantic information makes the algorithm robust to the apparent changes of the target, which can alleviate the drift problem to some extent. The algorithm can effectively combine the target apparent model based on convolutional neural network with the particle filter framework. The experimental results show that compared with the other five algorithms in the particle filter framework, the algorithm can track the moving targets with partial occlusion and morphological changes more robustly.

关键词： Convolutional Neural Network Particle Filter Target Tracking

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