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Contrast enhancement of illumination layer image using optimized subsection-based histogram equalization

International Journal of Performability engineering 2018年第11期14卷 2624-2632页

作者： Wang, Yongxin Diao, Ming Wu, Haibin School of Information and Communication Engineering Harbin Engineering University Harbin150080 China Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentation of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China

A key problem of underwater image sharpening is to improve image contrast while retaining image detail. The retinex model is used to obtain the illumination and detail layer images. The histogram of the illumination layer image is divided into under-exposure subsection and over-exposure subsection by using the maximum interclass variance method, and the histogram subsections are equalized separately. The above process of histogram dividing and equalization is repeated until the difference between adjacent thresholds for dividing histogram subsections reaches its optimal value. This enhances the contrast of the illumination layer image. As a result, our contrast enhancement method of illumination layer image using optimized histogram subsection based histogram equalization is formed. Furthermore, by multiplying the enhanced contrast of illumination layer image with the original detail layer image, the contrast of underwater image is enhanced and its original details are retained. Some evaluations, e.g. information entropy and mean structure similarity, are examined to show that the underwater image quality is improved appropriately. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Image enhancement

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Energy-Efficient Data Collection over Underwater MI-Assisted Acoustic Cooperative MIMO WSNs

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China communications 2023年第11期20卷 96-110页

作者： Qingyan Ren Yanjing Sun Song Li Bin Wang Zhengda Yu School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Department of Information Technology and Electrical Engineering ETH ZurichZurich 8092Switzerland School of Communication and Information Engineering Xi’an University of Science and TechnologyXi’an 710054China Xuzhou Engineering Research Center of Intelligent Industry Safety and Emergency Collaboration Xuzhou 221000China

Underwater magnetic induction(MI)-assisted acoustic cooperative multiple-input-multipleoutput(MIMO) has been recently proposed as a promising technique for underwater wireless sensor networks(UWSNs).For the more,the energy utilization of energy-constrained sensor nodes is one of the key issues in UWSNs,and it relates to the network *** this paper,we present an energy-efficient data collection for underwater MI-assisted acoustic cooperative MIMO wireless sensor networks(WSNs),including the formation of cooperative MIMO and relay link ***,the cooperative MIMO is formed by considering its expected transmission range and the energy balance of nodes with ***,from the perspective of the node’s energy consumption,the expected cooperative MIMO size and the selection of master node(MN) are ***,to improve the coverage of the networks and prolong the network lifetime,relay links are established by relay selection algorithm that using matching ***,the simulation results show that the proposed data collection improves its efficiency,reduces the energy consumption of the master node,improves the networks’ coverage,and extends the network lifetime.

关键词： cooperative MIMO cooperative MIMO size data collection heterogeneous UWSNs relay link establishment

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Simulation and spectral analysis of sea wave

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2012 2nd International Conference on Materials Science and Information technology, MSIT 2012

作者： Xu, Jing-Bo Bian, Xin-Qian Fu, Ming-Yu Postdoctoral Research Station of Control Science and Engineering Harbin Engineering University Harbin Heilongjiang 150001 China College of Measure-control Technology and Communication Engineering Harbin University of Science and Technology Harbin Heilongjiang 150080 China Automation College Harbin Engineering University Harbin Heilongjiang 150001 China

ISBN: (纸本)9783037854389

This paper deals with the method of simulating sea wave for decreasing its disturbance in the watercraft navigating. Firstly the ITTC two-parameter spectrum is selected as the power spectrum of sea wave to be simulated. Secondly the selected power spectrum is parted on a prescription composed of drugs of equal amount energy, and the harmonic frequency is determined by calculating the mass center of each section. Each order harmonic is synthesized on the basis of the Longuet-Higgins model in time domain. Finally, the simulation algorithm based on energy in part is presented and the simulated sea wave with time and space are determined. The simulation accuracy arrives at 1.6% compared with the ideal sea wave spectrum by the spectrum analysis of the simulated sea wave in Welch. That testifies the validity of this method and provides the watercraft movement parameters filtering with reliable exciting signals. © (2012) Trans Tech Publications, Switzerland.

关键词： Spectrum analysis

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A novel airplane detection algorithm based on deep CNN 4th

A novel airplane detection algorithm based on deep CNN

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4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018

作者： Wang, Ying Wang, Aili Hu, Changyu Higher Education Key Lab for Measure and Control Technology and Instrumentations of Heilongjiang Harbin University of Science and Technology Harbin150080 China Department of Communication Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9789811322020

Driven by the massive natural scene image and computer’s high speed computation ability, deep CNN becomes the mainstream method for completing the computer vision task by the power of feature representation capability. Because object detections based on deep CNN are unable to achieve optimization due to lack of training set of remote sensing images, a novel method based on transfer learning and deep CNN combined with SVM is proposed in this paper. Firstly, we obtain the deep CNN model AlexNet trained on a large-scale data set. Then, we truncate the first five convolution layers and get the initial parameters through transfer learning. Then, Deep CNN is used as feature extractor to extract the depth feature for training SVM, and the final remote sensing image airplane detection model is obtained. Experimental results show that the average precision of the proposed algorithm outperforms other traditional algorithms. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Remote sensing

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Design and Analysis of Spatial Modulation Based Orthogonal Time Frequency Space System

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China communications 2021年第8期18卷 209-223页

作者： Yingchao Yang Zhiquan Bai Ke Pang Piming Ma Haixia Zhang Xinghai Yang Dongfeng Yuan Shandong Provincial Key Lab.of Wireless Communication Technologies School of Information Science and EngineeringShandong UniversityQingdao 266237China Shandong Provincial Key Lab.of Wireless Communication Technologies School of Control Science and EngineeringShandong UniversityJinan 250061China College of Information Science and Technology Qingdao University of Science and TechnologyQingdao 266061China

In this paper,we design a spatial modulation based orthogonal time frequency space(SMOTFS)system to achieve improved transmission reliability and meet the high transmission rate and highspeed demands of future mobile communications,which fully utilizes the characteristics of spatial modulation(SM)and orthogonal time frequency space(OTFS)*** detailed system design and signal processing of the SM-OTFS system have been *** closed-form expressions of the average symbol error rate(ASER)and average bit error rate(ABER)of the SM-OTFS system have been derived over the delay-Doppler channel with the help of the union bounding technique and moment-generating function(MGF).Meanwhile,the system complexity has been *** results verify the correctness of the theoretical ASER and ABER analysis of the SM-OTFS system in the high signal-to-noise ratio(SNR)regions and also show that the SM-OTFS system outperforms the traditional SM based orthogonal frequency division multiplexing(SM-OFDM)system with limited complexity increase under mobile conditions,especially in high mobility scenarios.

关键词： orthogonal time frequency space(OTFS) spatial modulation based OTFS(SM-OTFS) delay-Doppler domain average symbol error rate(ASER) average bit error rate(ABER)

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A Novel Risk Informatization Assessment System for In-Service Highway Slope Based on Network

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Wuhan University Journal of Natural Sciences 2020年第3期25卷 267-276页

作者： CHAI Caiping GUAN Limin WANG Yunfei CUI Wenfen WANG Huifeng School of Highway&Railway Engineering Shaanxi College of Communication TechnologyXi'an 710018ShaanxiChina School of Electronic&Control Engineering Chang'an UniversityXi'an 710064ShaanxiChina

Aiming at the information evaluation of traffic infrastructure in-service roadside slope risk assessment,the method of risk assessment for highway slope engineering is proposed by using the combination of quantitative and qualitative methods,and a new risk assessment method is proposed and *** system,in order to prevent the risks in slope engineering,serves the scientific decision-making of the maintenance,operation and management of the in-service road *** on the analysis of the special geological conditions,complex surrounding environment and construction schemes of existing highway slopes in China,this paper establishes an in-service slope evaluation model for in-service roads,and designs the scheme diagram of the in-service road slope evaluation system based on the networked Internet ***,a set of in-service roadside slope risk assessment system software,the system component block diagram and the main design interface are *** system can meet the needs of comprehensive evaluation of multi-factors in service road slopes.

关键词： in-service road slope slope disaster slope dynamic information networked software regional geological conditions

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Asymmetric network pseudo labels mutual refinement for unsupervised domain adaptation person re-identification

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Multimedia Tools and Applications 2024年第40期83卷 88091-88111页

作者： Yun, Xiao Chen, Jiawang Zhang, Xiaoguang Dong, Kaiwen Li, Song Sun, Yanjing School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Xi’an Key Laboratory of Heterogeneous Network Convergence Communication Xi’an710054 China

In the task of unsupervised domain adaptation person re-identification, the traditional symmetric dual-branch network only generates one single feature, which ignores the difference and complementarity of the network and is prone to produce wrong cluster results. To solve this problem, the asymmetric network pseudo labels mutual refinement (ANPR) algorithm is proposed to design an asymmetric network (ASNet), containing diverse features for mutual supervision. One branch of ASNet employs convolutional operations with constrained receptive fields to extract local information, and the other branch uses the contextual transformer block to capture global features. Secondly, this paper constructs the pseudo labels mutual refinement (PMR) module, which generates two sets of clustering results using global and local potential features of unlabeled samples. PMR suppresses the inconsistent clustering results and retains the consistent ones, which gradually improves the quality of pseudo labels for dual-brach mutual supervision. In addition, the feature space loss (FSL) function is designed to focus on the relative distance of samples in the feature layer without relying on the pseudo labels in the task layer, which effectively avoids the influence of noisy pseudo labels in the optimization process. The proposed method is evaluated on three popular datasets, and extensive experimental results demonstrate its effectiveness. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Clustering algorithms

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A new method of active power measurement based on power load wiener-G functionals models

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2015年第10期8卷 137-146页

作者： Xiaobing, Zhang Mengchen, Yang Wei, Cao College of Measure-control Technology and Communication Engineering Harbin University of Science and Technology Harbin China

For the problem of electrical energy measurement could not be united under the condition of non-stationary distortion signals, in the paper, the functionals series was used to modeling the signals. Firstly, the Wiener kernel of nonlinear load was acquired;the output signal of nonlinear load was expressed using functionals series under the condition of sinusoidal excitation;and then, we used the wavelet transform to processed and acquired component of fundamental and distortion;and though the acquisition component of voltage and current, we analyzed the power flow of nonlinear load, and according the result of power flow, we proposed a new method of active power measurement. The simulation result shows that the result of theoretical analysis is the same as the new method, and the new method of electric energy measurement based on the functional series can achieve the reasonable electrical energy measurement. © 2015 SERSC.

关键词： Wavelet transforms

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Analysis of Visual Effects Configuration Scheme for Small Cultural Complex 2

Analysis of Visual Effects Configuration Scheme for Small Cu...

引用

2nd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2021

作者： Sun, Chang Su, Zhibin Liu, Wei Ren, Hui School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control Ministry of Culture and Tourism School of Information and Communication Engineering Beijing China

ISBN: (纸本)9781665428767

Stage lighting design is an important step in the visual effect configuration scheme of small cultural complex. This paper mainly discusses the lighting configuration of small space with multi-functional art services under different modes such as performance, conference, exhibition, reading and folk customs. Focusing on the analysis of lighting layout methods in drama and artistic performances, this paper takes the drama performing environment as the representative. Through the corresponding subjective evaluation experiments, research and data analysis are carried out on the lamps and lighting methods adopted in the performance. Furthermore, the optimal configuration effect of front light and top light under given constraints is selected. The research provides an effective reference for the lighting configuration of small cultural complexes, which has certain application value and practical significance. © 2021 IEEE.

关键词： Lighting

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Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge

arXiv

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arXiv 2025年

作者： Luo, Gongning Xu, Mingwang Chen, Hongyu Liang, Xinjie Tao, Xing Ni, Dong Jeong, Hyunsu Kim, Chulhong Stock, Raphael Baumgartner, Michael Kirchhoff, Yannick Rokuss, Maximilian Maier-Hein, Klaus Yang, Zhikai Fan, Tianyu Boutry, Nicolas Tereshchenko, Dmitry Moine, Arthur Charmetant, Maximilien Sauer, Jan Du, Hao Bai, Xiang-Hui Raikar, Vipul Pai Montoya-Del-Angel, Ricardo Martí, Robert Luna, Miguel Lee, Dongmin Qayyum, Abdul Mazher, Moona Guo, Qihui Wang, Changyan Awasthi, Navchetan Zhao, Qiaochu Wang, Wei Wang, Kuanquan Wang, Qiucheng Dong, Suyu School of Computer Science and Technology Harbin Institute of Technology Harbin150001 China Department of Mathematics Faculty of Science National University of Singapore Singapore National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering Shenzhen University Medical School Shenzhen University Shenzhen China Laboratory Shenzhen University Shenzhen China School of Biomedical Engineering and Informatics Nanjing Medical University Nanjing China Pohang Korea Republic of Heidelberg Division of Medical Image Computing Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Germany Heidelberg Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Karlsruhe Heidelberg Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Germany Department of Biomedical Engineering and Health KTH Royal Institute of Technology Stockholm Sweden France FathomX Singapore Saw Swee Hock School of Public Health National University of Singapore Singapore Philips Research University of Girona Spain Department of Robotics and Mechatronics Engineering DGIST Korea Republic of Department of Interdisciplinary Studies of Artificial Intelligence DGIST Korea Republic of National Heart and Lung Institute Faculty of Medicine Imperial College London London United Kingdom Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom Lab School of Communication and Information Engineering Shanghai University Shanghai China Faculty of Science Mathematics and Computer Science Informatics Institute University of Amsterdam Amsterdam1090 GH Netherlands Department of Biomedical Engineering and Physics Amsterdam UMC Amsterdam1081 HV Netherlands Xi’an Jiaotong-Liverpool University China Department of Ultrasound Harbin Medical University Cancer Hospital No. 150 Haping Road Nangang

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a newer approach for breast screening, which has many advantages over handheld mammography such as safety, speed, and higher detection rate of breast cancer. Tumor detection, segmentation, and classification are key components in the analysis of medical images, especially challenging in the context of 3D ABUS due to the significant variability in tumor size and shape, unclear tumor boundaries, and a low signal-to-noise ratio. The lack of publicly accessible, well-labeled ABUS datasets further hinders the advancement of systems for breast tumor analysis. Addressing this gap, we have organized the inaugural Tumor Detection, Segmentation, and Classification Challenge on Automated 3D Breast Ultrasound 2023 (TDSC-ABUS2023). This initiative aims to spearhead research in this field and create a definitive benchmark for tasks associated with 3D ABUS image analysis. In this paper, we summarize the top-performing algorithms from the challenge and provide critical analysis for ABUS image examination. We offer the TDSC-ABUS challenge as an open-access platform at https://***/ to benchmark and inspire future developments in1algorithmic research. © 2025, CC BY.

关键词： Image segmentation

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