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2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献

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Image Defogging Algorithm Based on Fisher Criterion Function and Dark Channel Prior 基于Fisher准则函数和暗通道先验的图像去雾算法
Nan Nan, Ruipeng Gang, Ruixia Song
For images with sky region, we propose a method of image defogging based on pattern recognition and dark channel priori. First, the transmittance is obtained by reducing the minimum filter window, and then the edge of transmittance is smoothed by V transformation. Since the transmittance histogram has the feature of two peaks, we used Fisher linear classifier to identify sky and non-sky regions, and then recalculated the transmittance of sky regions. Finally, the atmospheric scattering model is used to get the new luminance component, and the gamma correction is carried out. After the saturation component is adjusted appropriately, the defogged image is converted back to RGB space. The experiment shows that the proposed algorithm can get better haze removal effect compared with the traditional defogging algorithm based on dark channel prior and other state-of-the-art methods developed in recent years, and to a certain extent has solved the problem of color distortion and the whole brightness being darker in the sky region when using the DCP based algorithm.
对于带有天空区域的图像,提出了一种基于模式识别和暗通道先验的图像去雾方法。首先通过减小最小滤波窗口得到透光率,然后通过V变换平滑透光率边缘。由于透射率直方图具有双峰特征,我们使用Fisher线性分类器对天空区域和非天空区域进行识别,然后重新计算天空区域的透射率。最后,利用大气散射模型得到新的亮度分量,并进行伽玛校正。饱和度分量经过适当调整后,去雾图像被转换回RGB空间。实验表明,与传统的基于暗通道先验的去雾算法和近年来发展的其他先进方法相比,本文算法可以获得更好的去雾效果,并在一定程度上解决了使用基于DCP的算法时天空区域颜色失真和整体亮度偏暗的问题。
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引用次数: 3
Performance Analysis of LED Light Sources Based on Cardiovascular Disease Treatment 基于心血管疾病治疗的LED光源性能分析
Li Zhao, Zhi-hua Jia, Lin He, Yan Bian, Yong Sun, Hongwei Li
Red light LEDs have shown excellent results from the research of phototherapy for cardiovascular diseases, and the optimal values of light parameters and irradiation time are one of the focuses of their research. Studying the change of LED irradiance and temperature with the irradiation time, and the effect of temperature on irradiance has important reference valued for the phototherapy research of cardiovascular system diseases. Based on the mechanism and application of LED in cardiovascular system diseases, this article tested and analyzed the irradiance and temperature of medical red LED. The experimental results show that as the light time increases, the temperature of the LED increases, and the irradiance decreases. After about 5min, the change rate is small and tends to be stable. Through regression analysis, an approximate relationship curve between the two is obtained.
红光led在心血管疾病光疗研究中表现出优异的效果,光参数的最佳取值和照射时间是其研究的重点之一。研究LED辐照度和温度随照射时间的变化,以及温度对辐照度的影响,对心血管系统疾病的光疗研究具有重要的参考价值。本文基于LED在心血管系统疾病中的作用机理和应用,对医用红色LED的辐照度和温度进行了测试和分析。实验结果表明,随着发光时间的增加,LED的温度升高,辐照度降低。约5min后,变化率较小,趋于稳定。通过回归分析,得到了两者之间的近似关系曲线。
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引用次数: 0
Modulation recognition based on spectral correlation function 基于谱相关函数的调制识别
Chuan-Dong Li, H. Zeng
As a very important inherent characteristic of modulated signals, Cyclostationarity can be exploited for various signal processing tasks such as detection, classification, especially for signal buried in noise or masked interference. In this paper, cyclostationarity of some typical digitally modulated signals are analyzed and Spectral correlation functions (SCF) of these signals are simulated. Based on two features extracted from cycle frequency profile of SCF, three common digitally modulated signals (BPSK, QPSK, MSK) are recognized with a decision tree classifier. The proposed scheme for modulation recognition is easy for implementation and doesn’t require any prior knowledge such as carrier frequency or symbol rate. Simulations prove that the proposed scheme is able to achieve 90% recognition rate when signal to noise ratio (SNR) higher than -3dB.
作为调制信号的一种重要的固有特性,循环平稳性可以用于各种信号处理任务,如检测、分类,特别是对被噪声或屏蔽干扰掩盖的信号。本文分析了几种典型数字调制信号的周期平稳性,并对这些信号的谱相关函数进行了仿真。基于从SCF周期频率曲线中提取的两个特征,采用决策树分类器对BPSK、QPSK、MSK三种常见的数字调制信号进行了识别。所提出的调制识别方案易于实现,且不需要任何载波频率或符号速率等先验知识。仿真结果表明,当信噪比(SNR)大于-3dB时,该方法的识别率达到90%。
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引用次数: 1
An Efficient Intra Prediction Algorithm for HEVC Intra-coding 一种高效的HEVC内编码内预测算法
Yu Wang, Zhen Su
The new generation video coding standard HEVC has as many as 35 prediction modes and more flexible coding unit (CU) sizes. Although HEVC has better coding performance, it has high computational complexity and long coding time. In real-time signal processing systems, the algorithm must be further optimized. This paper proposes an efficient, fast intra-prediction algorithm for HEVC intra-coding. For the CU size decision, we use the depth information of the adjacent CUs to terminate the division in advance. For the intra-prediction mode selection, we use the parent CU's best prediction mode and the most probable modes (MPMs) to reduce the modes in the rate-distortion optimization process. Experimental results show that the proposed algorithm reduces encoding time by 47.21% on average, BD-BR increases by 1.81%, BD-PSNR decreases by 0.01dB, and SSIM decreases by 0.011. Comparing the proposed algorithm's RD curves with the existing algorithm, the proposed algorithm's rate-distortion performance has not changed significantly. The proposed algorithm does not significantly change the encoding performance and image quality while reducing the encoding time. The research method in this paper has theoretical guiding significance for HEVC intra-coding algorithm.
新一代视频编码标准HEVC具有多达35种预测模式和更灵活的编码单元(CU)大小。HEVC虽然具有较好的编码性能,但其计算复杂度高,编码时间长。在实时信号处理系统中,算法还需要进一步优化。提出了一种高效、快速的HEVC内编码内预测算法。对于CU大小的决定,我们利用相邻CU的深度信息提前终止划分。对于预测内模式选择,我们使用父CU的最佳预测模式和最可能模式(MPMs)来减少率失真优化过程中的模式。实验结果表明,该算法平均缩短了47.21%的编码时间,BD-BR提高了1.81%,BD-PSNR降低了0.01dB, SSIM降低了0.011。将本文算法的RD曲线与现有算法进行比较,发现本文算法的率失真性能没有明显变化。该算法在减少编码时间的同时,对编码性能和图像质量没有明显影响。本文的研究方法对HEVC内编码算法具有理论指导意义。
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引用次数: 3
Dual-Channel High Frequency Vibration Compensation Processing for Terahertz SAR Imaging 太赫兹SAR成像的双通道高频振动补偿处理
Zhaoxin Hao, Tianqu Liu, Jinping Sun
Terahertz electromagnetic wave is currently used in synthetic aperture radar (SAR) imaging because of its high frequency and short wavelength. Although airborne terahertz SAR has many advantages such as high imaging resolution, the phase of echo signal is very sensitive to the vibration of radar platform. So, it is necessary to estimate and compensate the vibration phase error. In this paper, the influence of platform vibration on the echo signal is analyzed, which shows the necessity of vibration compensation. Then a dual-channel vibration estimation and compensation method, which was developed for airborne lidar, is introduced and applied to compensate high frequency vibration of airborne terahertz SAR. The simulation results of point target imaging experiment verify the effectiveness of the method.
太赫兹电磁波由于其频率高、波长短的特点,目前被广泛应用于合成孔径雷达成像。机载太赫兹SAR虽然具有成像分辨率高等优点,但回波信号的相位对雷达平台的振动非常敏感。因此,有必要对振动相位误差进行估计和补偿。分析了平台振动对回波信号的影响,说明了振动补偿的必要性。然后介绍了一种针对机载激光雷达研制的双通道振动估计与补偿方法,并将其应用于机载太赫兹SAR的高频振动补偿,点目标成像实验仿真结果验证了该方法的有效性。
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引用次数: 1
A Patient Specific Seizure Prediction in Long Term EEG based on Adaptive Channel Selection and Preictal Period Selection 基于自适应通道选择和预测周期选择的长期脑电图患者特异性癫痫发作预测
Qun Wang, Yajing Wang, Zhiwen Liu, Yuan-yuan Piao, Tao Yu
A novel algorithm for seizure prediction based on patient specific manner was proposed to improve the accuracy of epilepsy prediction. Time-frequency features and spatial features were extracted from each channel by 4s windows with 2s overlap. A continuous 10-min sample was selected from 1h before seizure onset by preictal period selection, which achieved maximum linear separability compared with inter ictal period. The effective features selected by elastic net and effective channels selected adaptively in greedy manner were input into SVM. The algorithm is tested on MIT scalp EEG database and the database collected in Xuanwu Hospital Capital Medical University. The algorithm can achieve a sensitivity of 94.61% and a false positive rate of 0.1484/h in MIT database, and a sensitivity of 95.14% and a false positive rate of 0.1312/h in Xuanwu Hospital database. The results show that the algorithm in this paper has higher sensitivity and lower false positive rate.
为了提高癫痫发作预测的准确性,提出了一种基于患者特异性的癫痫发作预测算法。每个通道通过4s个窗口重叠2s个窗口提取时频特征和空间特征。从癫痫发作前1小时开始,通过预期选择连续10分钟的样本,与间期相比,实现了最大的线性可分性。将弹性网选择的有效特征和自适应贪婪选择的有效通道输入到支持向量机中。该算法在麻省理工学院头皮脑电图数据库和首都医科大学宣武医院采集的脑电图数据库上进行了测试。该算法在MIT数据库中灵敏度为94.61%,假阳性率为0.1484/h;在宣武医院数据库中灵敏度为95.14%,假阳性率为0.1312/h。结果表明,该算法具有较高的灵敏度和较低的误报率。
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引用次数: 1
Online Multiple Object Tracking with Recurrent Neural Networks and Appearance Model 基于递归神经网络和外观模型的在线多目标跟踪
Wen-jing Kang, Changqing Xie, Jin Yao, L. Xuan, Gongliang Liu
Multiple object tracking suffers from many challenges including huge computation work, crowd scenes. In order to solve these problems, we proposed a novel online multiple object tracking algorithm based on recurrent neural networks (RNNs) and appearance model. Compared to traditional algorithms, the RNNs can handle the motion state of the target well because it is trained with a quantity of data extracted from real world scenes. In addition, RNNs is helpful to improve tracking speed because it predicts the trajectories of objects without complex appearance calculations. The appearance feature is significant for tracking, especially in crowed scenes. The appearance model is extracted by convolutional neural networks trained with MARS dataset which is more targeted for the multi object tracking. In order to balance the speed and accuracy of tracking, a novel simple decision method was proposed to decide which features should be used. Otherwise, the cascade matching is integrated into the data association to solve a lot of subproblems in tracking. The experimental evaluation shows our algorithm is fast and accurate.
多目标跟踪面临着计算量大、场景拥挤等诸多挑战。为了解决这些问题,我们提出了一种基于递归神经网络(RNNs)和外观模型的在线多目标跟踪算法。与传统算法相比,rnn可以很好地处理目标的运动状态,因为它是用从现实世界场景中提取的大量数据进行训练的。此外,rnn有助于提高跟踪速度,因为它预测物体的轨迹而不需要复杂的外观计算。外观特征对于跟踪非常重要,特别是在拥挤的场景中。采用MARS数据集训练的卷积神经网络提取外观模型,更有针对性地进行多目标跟踪。为了平衡跟踪的速度和精度,提出了一种新的简单决策方法来决定应该使用哪些特征。另外,将级联匹配集成到数据关联中,解决了跟踪中的大量子问题。实验结果表明,该算法快速、准确。
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引用次数: 1
Bionic design of buffer joint with functional stiffness 具有功能刚度的缓冲关节仿生设计
Weijun Tian, Yezi Hui, Ju Wang, Yu Xiong, Lei Jiang, Ming Li
Aiming at the impact vibration of the robot caused by the unstructured ground collision, a cam slot stiffness functional bionic buffer joint is proposed. The stiffness function of the buffer joint is analyzed by the analytical method, and the accurate function expression equation of buffer joint stiffness is obtained. The design of the cam slot buffer joint is carried out based on the rigidity functional feature. The rigidity function feature of the buffer joint is analyzed by Adams simulation. The results show that the designed bionic buffer joints have the characteristic of stiffness function.
针对非结构化地面碰撞引起的机器人冲击振动问题,提出了一种凸轮槽刚度功能仿生缓冲关节。采用解析法对缓冲节点的刚度函数进行了分析,得到了准确的缓冲节点刚度函数表达式。基于刚度功能特征,对凸轮槽缓冲接头进行了设计。采用Adams仿真分析了缓冲接头的刚度函数特征。结果表明,所设计的仿生缓冲关节具有刚度函数特性。
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引用次数: 0
Design of an Integrated Control System for Multiple Test Instruments Based on LabVIEW 基于LabVIEW的多台测试仪器集成控制系统设计
Pengxiang Du, Hui Li
In recent years, with the rapid development of measurement technology, people have higher requirements on the speed and efficiency of measurement. The integrated control system of virtual instrument can greatly improve the speed and accuracy of testing, at the same time, it can collect large data in real time, has good repeatability and expansibility, and also beautiful and simple operation interface. In this paper, the author uses LabVIEW application software as the development platform, and a variety of test instrument integrated control to form a fully automated measurement system. Hardware devices include electronic load, multimeter and power analyzer. They communicate with LabVIEW of host computer through different connection modes such as RS232 serial port and call DLL. The measurement data obtained from the experiment were stored in the MySQL database through LabVIEW, and the Excel table was exported to generate the printed report. The establishment of this test system greatly improves the testing efficiency of the laboratory, and at the same time improves the real-time and accuracy of measurement data, saves a lot of time and manpower, and has a good application value.
近年来,随着测量技术的飞速发展,人们对测量的速度和效率提出了更高的要求。虚拟仪器集成控制系统可以大大提高测试的速度和精度,同时可以实时采集大量数据,具有良好的可重复性和可扩展性,操作界面美观简单。在本文中,笔者以LabVIEW应用软件为开发平台,与多种测试仪器集成控制,组成了一个全自动的测量系统。硬件设备包括电子负载、万用表和功率分析仪。它们通过RS232串口和调用DLL等不同的连接方式与上位机LabVIEW进行通信。将实验得到的测量数据通过LabVIEW存储在MySQL数据库中,并导出Excel表格生成打印报告。本测试系统的建立大大提高了实验室的测试效率,同时提高了测量数据的实时性和准确性,节省了大量的时间和人力,具有很好的应用价值。
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引用次数: 0
Deep Group Recommender System Model Based on User Trust 基于用户信任的深度群组推荐系统模型
Yulong Song, Wenming Ma, Tongtong Liu
Today’s group recommender systems rarely consider the trust relationship between users, but the interaction between users often has a significant impact on each other’s preferences. A group recommendation model based on deep learning and user interaction is proposed, which has stronger representational capability than previous models. In addition, an improved weight fusion method based on user implicit vector is applied to the preference fusion of group members. Epinions data set shows that this model is superior to other comparison algorithms in RMSE and hit ratio.
目前的群推荐系统很少考虑用户之间的信任关系,但用户之间的交互往往会对彼此的偏好产生重大影响。提出了一种基于深度学习和用户交互的群组推荐模型,该模型具有较强的表示能力。此外,将一种改进的基于用户隐式向量的权重融合方法应用于群组成员的偏好融合。Epinions数据集表明,该模型在均方根误差和命中率方面优于其他比较算法。
{"title":"Deep Group Recommender System Model Based on User Trust","authors":"Yulong Song, Wenming Ma, Tongtong Liu","doi":"10.1109/CISP-BMEI51763.2020.9263556","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263556","url":null,"abstract":"Today’s group recommender systems rarely consider the trust relationship between users, but the interaction between users often has a significant impact on each other’s preferences. A group recommendation model based on deep learning and user interaction is proposed, which has stronger representational capability than previous models. In addition, an improved weight fusion method based on user implicit vector is applied to the preference fusion of group members. Epinions data set shows that this model is superior to other comparison algorithms in RMSE and hit ratio.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116823587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
期刊
2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
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