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

共 13657 条记录，以下是791-800 订阅

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Automatic Licence Plate Detection and Recognition System using image processing Techniques

Automatic Licence Plate Detection and Recognition System usi...

引用

Cognitive, Green and Ubiquitous Computing (IC-CGU), International conference on

作者： Peddi Shyam Ganesh B. Srilekha Vukanti Sravanthi Department of ECE Siddhartha Institute of Technology & Sciences Telangana India

ISBN: (数字)9798350361780

ISBN: (纸本)9798350361797

The recent exponential surge in the number of vehicles on our roadways has made congestion and violations important problems. By automating traffic management using an ALPR system, we can improve access control systems, streamline traffic flow, and save time. Here, we look at how well algorithms for edge processing and morphological processing perform. The parameters of the neural network, including the regularisation parameter, the count of hidden layer units, and the count of iterations, are optimised with great care. With a focus on real-time implementation and control via a graphical user interface, this case presents a parking security system suitable for usage in office buildings, institutions, malls, etc. Operating on Raspberry Pi 2B and Matlab, the system accomplishes a 97% efficiency rate through the use of image processing techniques and machine learning algorithms.

关键词： Location awareness Machine learning algorithms image edge detection Neural networks Ubiquitous computing Real-time systems Character recognition

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Offline Reinforcement Learning via Sequence Modeling for Vision-Based Robotic Grasping 13

Offline Reinforcement Learning via Sequence Modeling for Vis...

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13th IEEE International conference on CYBER Technology in Automation, Control, and Intelligent systems, CYBER 2023

作者： Zeng, Sheng Sun, Xiao Chen, Kang Huang, Weibing Chen, Yi Chen, Dan Xu, Zhezhuang College of Electrical Engineering and Automation Key Laboratory of Industrial Automation Control Technology and Information Processing Fuzhou University Education Department of Fujian Province Fuzhou350000 China Evomotion Co. Ltd. Guangdong Shenzhen518000 China

ISBN: (纸本)9798350315196

High cost of environmental interaction and low data efficiency limit the development of reinforcement learning in robotic grasping. This paper proposes an end-to-end robotic grasping method based on offline reinforcement learning via sequence modeling. It considers the most recent n-step history to assist the agent in making decisions, where a predictive model learns to directly predict actions from raw image inputs. The experimental results show that our method can achieve higher grasping success rate with less training data than traditional reinforcement learning algorithms in offline setting. © 2023 IEEE.

关键词： Reinforcement learning

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An Effective image Encryption Algorithm Based on a Novel Chaotic Map 13

An Effective Image Encryption Algorithm Based on a Novel Cha...

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13th International conference on Graphics and image processing (ICGIP)

作者： Ding, Weikang Yang, Qinglian Zhao, Dongdong Yan, Shi Lanzhou Univ Sch Informat Sci & Engn Lanzhou 730000 Peoples R China

ISBN: (数字)9781510650435

ISBN: (纸本)9781510650435;9781510650428

Cryptography based on the properties such as unpredictability and initial state sensitivity of chaotic systems is a strategy to improve the security of image encryption algorithms. In this paper, a Logistic Coupled with Sine (LCS) chaotic map is proposed, and it turns out that the proposed map has more complex behaviors than existing chaotic maps in terms of performance analyses. Furthermore, as a potential application, an efficient and effective image encryption algorithm is proposed based on the keystreams generated by this LCS map. In the encryption algorithm, for a given plain image, it is split by the parity of indices of image rows first, and then a new confusion-diffusion strategy is proposed to scramble and diffuse thoroughly the elements of these two divided parts of the image. The security analyses indicate that the proposed encryption algorithm has excellent statistical properties, high security and efficiency for image encryption.

关键词： Information security image cryptography chaotic map security analyses

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Unrolling Alternating Direction Method of Multipliers for Visible and Infrared image Fusion 5

Unrolling Alternating Direction Method of Multipliers for Vi...

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5th IEEE International conference on image processing Applications and systems (IPAS)

作者： Bakan, Altug Erer, Isin Istanbul Tech Univ Dept Elect & Commun Engn Istanbul Turkey ASELSAN Microelect Guidance & Electroopt Business Sect Ankara Turkey

ISBN: (纸本)9781665462198

In this paper a new infrared and visible image fusion (ivIF) method which combines the advantages of optimization and deep learning based methods is proposed. This model takes the iterative solution used by the alternating direction method of the multiplier (ADMM) optimization method, and uses algorithm unrolling to obtain a high performance and efficient algorithm. Compared with traditional optimization methods, this model generates fusion with 99.6% improvement in terms of image fusion time, and compared with deep learning based algorithms, this model generates detailed fusion images with 99.1% improvement in terms of training time. Compared with the other state-of-the-art unrolling based methods, this model performs 26.7% better on average in terms of Average Gradient (AG), Cross Entropy (CE), Mutual Information (MI), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Loss (SSIM) metrics with a minimal testing time cost.

关键词： visible and infrared image fusion algorithm unrolling model based deep network ADMM

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3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

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3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031615818

The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad Hoc Networks (VANET);collaborative Robot Laboratory Setup for Repeatable Force and Speed Experiments;towards Global Sustainability: Exploratory Analysis Through Unsupervised Machine Learning Techniques;structural Kinematic Analysis of a Wheelchair Mechanism Designed for Disabled Persons;application of Graph Theory in Designing the Communication System of a Robotic Production Cell;machine Learning algorithms in Scheduling Problems: An Overview and Future Paths;on the Relation Between the Smith Predictor and Algebraic Control Approach for Time Delay systems: A Case Study;image as a Way of processing Multidimensional Production Data for Product Quality Prediction Using Deep Learning;OPC-UA in Digital Twins—A Performance Comparative Analysis;design Improvements for an Inspection Rover;decoding the Effect of Descriptive Statistics on Informed Decision-Making;Simulation Control of Three-Tank-System Using 2DOF Controller;development of a Serious Game to Support Alzheimer’s Patients: First Insights;e-voting Platform Based on Blockchain;the Transformation of Maintenance with the Arise of Industry 4.0;real-World Comparison of Predictive Controllers Based on Internal and External Description of the Controlled System;the Use of Virtual Reality in Lower-Limb Robotic Rehabilitation;the Contribution of Photovoltaic systems to Sustainable Agriculture—An Analysis of Agrivoltaic systems;integration of Augmented Reality and IoT Elements in the Maintenance 4.0;A Fuzzy Logic-Based Risk Assessment Tool for IT Startups;wireless Localization System Applied to a Kitting Pick-to-light System;Posture Correction Device Based on IMU Sensors and CNN.

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3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

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3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031615740

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3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

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3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031626838

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Comparative Study of Machine Learning and Deep Learning Models for Food Waste Detection Using image processing

Comparative Study of Machine Learning and Deep Learning Mode...

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IEEE Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： R. Rajagopal Chaithanya. k Ankita Sonth Prasanna Basanagouda Kallappagoudar Mohammadzaid Mohammadishaq Nadaf Ananda Theertha H Dept of Computer Science Alliance College of Engineering and Design Alliance University Bangalore India Bangalore India Dept of Computer Science Alliance College of Engineering and Design Bangalore India Dept of Computer Science and Engineering Alliance College of Engineering and Design Bangalore India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

For the purpose of reducing financial losses and environmental impacts, food waste detection is essential. Inorder to detect food waste using image processing, this study investigates the efficiency of several machine learning algorithms, including Convolutional Neural Network (CNN), K-Nearest Neighbors (KNN), Random Forest, and Inception Model (iv3). A set of images of food are then processed. Before each algorithm is used for classification, pre-processing methods like segmentation and feature extraction are used.

关键词： Food waste Measurement Analytical models Machine learning algorithms Accuracy Computational modeling Nearest neighbor methods Data models Convolutional neural networks Random forests

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International Scientific and Technical conference on Integrated Computer Technologies in Mechanical Engineering, ICTM 2023

International Scientific and Technical Conference on Integra...

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International Scientific and Technical conference on Integrated Computer Technologies in Mechanical Engineering, ICTM 2023

ISBN: (纸本)9783031614149

The proceedings contain 95 papers. The special focus in this conference is on Integrated Computer Technologies in Mechanical Engineering. The topics include: Complexity Reduction in DAT-Based image processing;current Trends in Bulk Solids Quantity Monitoring Inside the Large Capacity Industrial Tanks and Reservoirs;simulation of Onboard Helicopter Radar Signals for Surface Elevation Measurements;two Factor Dispersion Analysis of the Capacitive Grain Moisture Meters’ Transfer Function;methods for Time Series Analysis Using Segmented Regression with Heteroskedasticity;methodology of Detection and Recognition of Faults in the Unit Components;analyzing Exergy Losses When Utilizing the Heat of Exhaust Gases in Boiler;adaptation of the Rotor Design of Expander-Compressor Unit for the Installation of Magnetic Bearings Based on Dynamic Analysis Using Integrated Computer systems;methods of Parametric Modeling and Simulation Numerical Analysis of Rotor Dynamics in Active Magnetic Bearings on Example of the Turbocompressor;analyzing Thermophysical Phenomena in a Thermopressor for Air Intercooling systems;development and Implementation of Energy-Saving Control algorithms for Pumping Units of Power Plants to Increase Their Operational Quality;Utilizing CFD Technology in the Design of the Combustion Chamber for the Hydrogen-Powered Hybrid Energy System;a Research on the Influence of Anisotropic Characteristics of Single-Crystal Gas Turbine Blades on Their Durability;numerical Analysis of the Modern Marine Gas Turbine Rotor Stress-Strain State;numerical and Experimental Investigation of the Rotor Blade Joint;transient Motions of Solid Propellant Motor Casing at Launch Vehicle Liftoff;improving the Method of Quality Control of the Fuel Element Shell in Order to Improve the Safety of a Nuclear Reactor;preface.

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Deep Learning Techniques for image Recognition in IoT-Enabled Surveillance systems

Deep Learning Techniques for Image Recognition in IoT-Enable...

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2024 Asian conference on Intelligent Technologies, ACOIT 2024

作者： Dankan Gowda, V. Vishnu Tej, Y. Potharaju, Vidya Sagar Jakkidi, Premkumar Reddy Sharma, Aanchal Sudhakar Reddy, N. Department of Electronics and Communication Engineering BMS Institute of Technology and Management Karnataka Bangalore India Department of Computer Science and Systems Engineering Andhra University Visakhapatnam India Department of ECE Vignana Bharati Institute of Technology Ghatkesar Hyderabad India 15950 paramount way FriscoTX75189 United States DCSA Panjab University Chandigarh India Department of ECE School of Engineering Mohan Babu University Tirupati India

ISBN: (纸本)9798350374933

This paper proposed an improved method that can be used in the identification of images within IoT based surveillance systems through the use of deep learning techniques especially the CNNs. The growth of concern and complexity therefore entails massive feeding from bursts of data from surveillance cameras, hence the need for reliable algorithms for processing the data in real-time with reasonable accuracy. The described system can be described as inclusive of IoT devices communicating with edge computing and cloud services for the purpose of scalability and performance enhancement. In this study, a very sophisticated experimental setup was employed;the authors used a number of datasets for surveillance purposes to evaluate the model. The results revealed that the segments of the method achieve a high accuracy and are continuously running through data in diverse surveillance scenarios while also being scalable. In the results section, we realized that CNN model was able to handle various environmental conditions such as;extreme lightening and occlusion. On the basis of the above mentioned data, it will be possible to suggest that this approach is rather superior compared to the other conventional approaches and therefore can be suggested as the possible solution of the modern conditions of surveillance. It thus provides platform for the advancement of intelligent surveillance system for use in smart city, security and safety application. © 2024 IEEE.

关键词： Convolutional neural networks

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