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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

共 16439 条记录，以下是1741-1750 订阅

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Survey of Approaches to Non-Realistic Neural Style Transfer 31

Survey of Approaches to Non-Realistic Neural Style Transfer

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31st conference of Open Innovations Association FRUCT, FRUCT 2022

作者： Varlamova, Arina Kitov, Victor Lomonosov Moscow State University Moscow Russia

ISBN: (纸本)9789526924472

Despite researchers interest toward style transfer problem, there is still no foremost method available. Difficulties in problem formalization make a comparison of methods especially complicated. This paper covers twelve widely used algorithms in order to provide their comprehensive description and advantages one over another. © 2022 FRUCT Oy.

关键词： Technological innovation image processing Real-time systems Convolutional neural networks

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Exploration of Motion Increase Rate Based on Infrared Feature Capture and CFD Numerical Simulation

Exploration of Motion Increase Rate Based on Infrared Featur...

引用

Electronics, Energy systems and Power Engineering (EESPE), IEEE International conference on

作者： Minghan Wang Beijing University of Technology Beijing China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

The purpose of this study is to explore the motion incremental speed technology based on infrared feature capture and CFD numerical simulation, through the sensor, image processing and analysis algorithms, etc. On the basis of exploring the target's motion characteristics, combined with the Chancellor's theory of ballistic trajectory, and real-time capture of the target's thermal feature information is to achieve accurate target tracking and motion trajectory adjustment. Firstly, this paper adopts the image processing and analysis algorithm, and uses the normal distribution model to process the infrared data, so as to construct the target motion model. Secondly, CFD numerical simulation is used to analyse mechanisms such as motion boost guidance in order to provide more accurate target tracking and trajectory correction schemes. Finally, the motion region of the updraft is predicted by spherical averaging of the fluctuation equation. The results show that the infrared feature capture technique is able to maintain efficient motion track correction and motion speed-up capability based on real-time data processing in dynamic environments.

关键词： Target tracking Accuracy image processing Gaussian distribution Numerical simulation Mathematical models Real-time systems Data models Numerical models Trajectory

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Pneumonia Classification using deep learning: a comparative study

Pneumonia Classification using deep learning: a comparative ...

引用

International conference on image and Signal processing and their Applications (ISPA)

作者： Mohamed Lakhdar Tiar Nadjiba Terki Juan Jose Dominguez-Jimenez IL3CUB Laboratory University of Mohamed Khider Biskra Algeria Electrical Engineering Department University of Mohamed Khider Biskra Algeria Dept. Computer Languages and Systems University of Cadiz Escuela Superior de Ingenieria Cadiz Spain

ISBN: (数字)9798350309249

ISBN: (纸本)9798350309256

Pneumonia is an infectious disease of the lungs, caused by viruses, bacteria or fungi. Pneumonia is distinguished by acute inflammation of the lung tissue, causing the consolidation of the terminal bronchioles and alveoli. According to the WHO (the World Health Organization), this disease causes about 4 million deaths. Among the methods of diagnosing pneumonia uses a chest X-ray. This is widely used to visualize pulmonary abnormalities. This work aims at the detection and characterization of pneumonia by the development of computer-assisted diagnosis systems (DAOC). We use deep learning algorithms and chest X-ray images from a pneumonia database to examine the classification of pneumonia. To improve the accuracy, we compare several deep learning models. This research contributes to meeting the growing demand for medical personnel by addressing the global incidence of chest disorders.

关键词： Deep learning Visualization Pneumonia Lung Signal processing algorithms Medical services Signal processing

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Wirelessly Controlled Plant Health Monitoring and Medicate System Based on IoT Technology 1

引用

1st International conference on Advanced Network Technologies and Intelligent Computing (ANTIC)

作者： Ayalew, Lijaddis Getnet Mattihalli, Channamallikarjuna Asmare, Fanuel Melak Bahir Dar Univ Fac Elect & Comp Engn Bahir Dar Inst Technol Bahir Dar Ethiopia

ISBN: (数字)9783030960407

ISBN: (纸本)9783030960407;9783030960391

The availability of good quality fruits and vegetables is paramount in preventing starvation and minimizing outbreaks of diseases which leads to improving quality of life. One of the major obstacles of the mentioned availability is plant leaf disease. Although manpower plays a vital role in detecting such problems it is time-intensive, expensive, and very inefficient. Thus, developing a mechanism to vigorously monitor leaf's health and detect diseases of plant leaves at early stages is mandatory so that one can produce plenty. In this contribution, a system that detects leaf disease is developed using image processing algorithms, the k-nearest neighbor (KNN), support vector machine (SVM), and multilayer perception (MLP) machine learning algorithms are compared based on plant disease detection and classification systems performances. We also developed a prototype of simple-to-install technology that can recognize leaf diseases and allow medicine flow based on the results. This paper presents a smart plant health monitoring system that takes into account humidity, temperature, and soil contents.

关键词： image processing IoT KNN MLP SVM

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Semi-Supervised 3D Medical image Segmentation Using Shape-Guided Dual Consistency Learning

Semi-Supervised 3D Medical Image Segmentation Using Shape-Gu...

引用

2022 IEEE International conference on Multimedia and Expo, ICME 2022

作者： Lei, Tao Liu, Hulin Chen, Qi Wang, Zexuan Zhang, Dong Wang, xingwu Du, xiaogang Lu, Bo Shaanxi University of Science and Technology Shaanxi Joint Laboratory of Artificial Intelligence Xi'an710021 China School of Electronic Information and Artificial Intelligence Shaanxi University of Science and Technology Xi'an710021 China CO. Ltd Xi'an712000 China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

Popular semi-supervised image segmentation networks suf-fer from two problems: firstly, supervision is only performed on the last layer of the decoder, resulting in the network's weak generalization ability;secondly, the geometry shape constraints of targets are frequently disregarded in these net-works, leading to poor segmentation results. To address these issues, we propose a novel shape-guided dual consistency semi-supervised learning framework for 3D medical image segmentation. The proposed framework makes two contri-butions. Initially, we introduce a shape constraint to learn the shape representation, which converts the difference be-tween two networks into an unsupervised loss and lets the model learn the boundary information of targets. Addition-ally, we develop a deep-supervised knowledge transfer strat-egy that improves the generalization ability of the network without increasing extra computation costs. Experiments demonstrate that the proposed framework outperforms state-of-the-art semi-supervised methods due to the strong ability of knowledge mining on unlabeled data. © 2022 IEEE.

关键词： Deep learning

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Experimental Results of Local Backprojection for Monostatic THz SAR Imaging

Experimental Results of Local Backprojection for Monostatic ...

引用

2025 International conference on Mobile and Miniaturized Terahertz systems, ICMMTS 2025

作者： Ivanenko, Yevhen Batra, Aman Vu, Viet Thuy Pettersson, Mats I. Kaiser, Thomas Blekinge Institute of Technology Karlskrona371 79 Sweden University of Duisburg-Essen Duisburg470 57 Germany

ISBN: (纸本)9798350365832

The use of THz frequencies has enabled the opportunity to perform synthetic-aperture radar (SAR) imaging at the sub-mm level. It is of great interest for applications where high-resolution remote sensing in short range is required. However, with the increase of the operating frequencies from microwave to THz, the SAR image formation algorithms work with a larger amount of data and become more sensitive to phase errors that can be caused by insufficient signal sampling rate or physical factors that cause platform deviations. This motivates the use of fast image formation capable to handle phase errors. In this paper, we present the experimental results on the performance of the local backprojection (LBP) algorithm for processing THz SAR signals. The LBP algorithm has been tested with the real data in the frequency range 0.325-0.5 THz. The results demonstrate the efficiency of the LBP algorithm for the SAR scene reconstruction and highlight the necessity of the use of two times higher signal upsampling to achieve reconstruction accuracy similar to the global backprojection algorithm. © 2025 IEEE.

关键词： image sampling

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A Novel Artistic image Compression Algorithm Based on Multi-Scale Adaptive Discrete Wavelet Transform

A Novel Artistic Image Compression Algorithm Based on Multi-...

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Multi-Agent systems for Collaborative Intelligence (ICMSCI), International conference on

作者： Yijun Li China Academy of Art Yuhang District Hangzhou Zhejiang China

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

How to compress information is a challenge in the digital age, and the image compression has a wide range of application scenarios. In order to solve the challenges of low compression efficiency and high loss rate of the traditional algorithms, this study proposes a compression algorithm based on multi-scale adaptive discrete wavelet transform. The core of the proposed algorithm is to make reasonable use of the multiresolution analysis characteristics of discrete wavelet transform. Based on the feature extraction, the image information is decomposed into high-frequency and low-frequency parts. This operation can stably and effectively implement frequency domain threshold processing and reduce redundant data. The proposed algorithm optimizes the encoding efficiency of image features to the greatest extent by introducing block difference features and designing a new iterative function system. In view of the high redundancy and high complexity of the artistic images, the traditional wavelet analysis is improved and optimized, and a multi-scale adaptive model is introduced. In the experiment, the test used multiple sets of artistic image test sets and compared them with mainstream algorithms (JPEG, VAE, etc.). In PSNR analysis, the proposed algorithm achieves better performance.

关键词： image coding Wavelet transforms Transforms Discrete wavelet transforms Feature extraction Wavelet analysis Wavelet domain Compression algorithms Frequency-domain analysis Collaborative intelligence

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Segmentation of Electrical Discharge Processes Based on the image Analysis of Plasma-Electrolyte Oxidation 19

Segmentation of Electrical Discharge Processes Based on the ...

引用

conference on Electro-Optical and Infrared systems - Technology and Applications xiX

作者： Zhukov, S. Voronin, V. Semenishchev, E. Chudinov, D. Zhukova, O. Moscow State Univ Technol STANKIN Ctr Cognit Technol & Machine Vis Moscow Russia

ISBN: (纸本)9781510655461

In the process of plasma-electrolytic synthesis, a new physical surface is synthesized, consisting of a metal oxide layer of a modified surface and the synthesis of elements of a set of electrolyte plasma, the nodal sources of the components of which are the components of the electrodes (electrolyte and metal surface). In this regard, the classification of plasma electro-discharge processes based on analyzing optical and electrical sensor data using machine learning methods is an actual task. It can be used for intelligent control algorithms of the sensor layers operations and conduct analytical and quantitative studies of the properties of nodal substances. The paper presents the experimental analysis of video and electrical parameters of the oxygen process, automated processing of the basic features of images of plasma-electrolyte discharges, and a segmentation approach of the electric-discharge machining. This approach can help create microsensor elements and materials and systems for intelligent modeling and launching of electrochemical methods for creating an electrolyte plasma and directed synthesis of substances. To test the performance of the proposed algorithm, the database STANKIN is used.

关键词： segmentation image processing electrical discharge plasma-electrolyte oxidation

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International conference on Emerging Trends and Applications in Artificial Intelligence, ICETAI 2023

International Conference on Emerging Trends and Applications...

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International conference on Emerging Trends and Applications in Artificial Intelligence, ICETAI 2023

ISBN: (纸本)9783031567278

The proceedings contain 47 papers. The special focus in this conference is on Emerging Trends and Applications in Artificial Intelligence. The topics include: Artificial Neural Network Model of Nonlinear Behavior of Micro-ring Gyroscopes;a Framework for Knowledge Representation Integrated with Dynamic Network Analysis;time Series Forecasting Using Parallel Randomized Fuzzy Cognitive Maps and Reservoir Computing;review of Offensive Language Detection on Social Media: Current Trends and Opportunities;Text Mining and Sentimental Analysis to Distinguish systems Thinkers at Various Levels: A Case Study of COVID-19;ADHD Prediction in Children Through Machine Learning algorithms;commonsense Validation and Explanation for Arabic Sentences;predicting Students Answers Using Data Science: An Experimental Study with Machine Learning;arabic News Articles Classification Using Different Word Embeddings;tree Fruit Load Calculation with image processing Techniques;prediction and Analysis of Water Quality Using Machine Learning Techniques;comparative Analysis of Feature Selection Techniques with Metaheuristic Grasshopper Optimization Algorithm;supermarket Shopping with the Help of Deep Learning;A Decision Support System for Detecting FIP Disease in Cats Based on Machine Learning Methods;a Numerical Simulation for the Ankle Foot Orthosis Using the Finite Element Technique with the Aid of an Experimental Program;numerical and Experimental Simulations of Damage Identification in Carbon/Kevlar Hybrid Fiber-Reinforced Polymer Plates Using the Free Vibration Measurements;computer Modelling of the Gait Cycle Patterns for a Drop Foot Patient for the Composite a Polypropylene Ankle-Foot Orthoses;arabic Sign Language Alphabet Classification via Transfer Learning;evaluation of Chemical Data by Clustering Techniques;novel Quantum Key Distribution Method Based on Blockchain Technology;smart Parking System Based on Dynamic and Optimal Resource Allocation;spatio-Angular Resolution Trade-Off in Face

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A Configurable Computing Architecture for Split-Radix FFT

A Configurable Computing Architecture for Split-Radix FFT

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International conference on Integrated Circuits and Microsystems (ICICM)

作者： Weilong Jin Ningmei Yu Dian Tian Liangchen Lv Jiahao Tang Minghui xie School of Automation and Information Engineering Xi'an University of Technology Xi'an China Electronics Department University of Alcalá Alcalá de Henares (Madrid) Spain

ISBN: (数字)9798331509453

ISBN: (纸本)9798331520243

image recovery algorithms applied to imaging systems such as lensless imaging in end devices are a high-speed edge computing process. Diffraction recovery algorithms typically include operations such as FFT/IFFT, amplitude constraint, phase constraint, and intensity operations. FFT/IFFT, as the main operation in these algorithms, is usually computed using the butterfly algorithm, which can be categorized into three main types: single-base algorithm, mixed-radix algorithm, and split-radix algorithm. To meet the hardware resource constraints of edge devices, this paper proposes a configurable computing architecture for the SRFFT algorithm by analyzing the specific butterfly unit structures. Using mode control signals, the architecture can be configured into three modes: basic butterfly unit computation, 8-point tail computation, and 2-point tail computation. By reusing the underlying floating-point computation units, the proposed architecture not only computes the FFT efficiently compared to other split-radix algorithms but also further reduces the utilization of the underlying computational resources, making it highly suitable for edge devices with limited resources.

关键词： Micromechanical devices Integrated circuits Diffraction image edge detection Imaging Computer architecture Tail Hardware Computational efficiency Computational complexity

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