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

共 13664 条记录，以下是931-940 订阅

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Pioneering Early Parkinsons Disease Detection with Deep Learning and image processing Innovations 10

Pioneering Early Parkinsons Disease Detection with Deep Lear...

引用

10th International conference on Advanced Computing and Communication systems, ICACCS 2024

作者： Srinivasarao, Narisetty Khan, Mohammad Basith Anwar Haneesha, Pullipati Meghana, Palaparthi Department of Computer Science and Engineering Mylavaram India

ISBN: (纸本)9798350384369

Parkinson's disease, a neurological disorder which affects the nervous system, manifests as unintentional and uncontrollable movements in the body. With over 6 million individuals globally affected, early detection of PD proves challenging, given its varied symptoms. The manifestations of the disease can differ among individuals, with symptoms typically initiating as a tremor in one hand and progressively impacting the entire body over time. Typically, symptoms begin with a hand tremor and progress throughout the body. Currently, conventional clinical approaches do not possess the capability to detect Parkinson's disease during its initial phases. Diagnosis relies on medical history, brain MRI images, and manual symptom observation, a process that is time-consuming and often insufficient for early detection. The potential of deep learning for early PD detection is explored using datasets comprising spiral drawings from both normal and PD-affected individuals. CNN and ResNet50 algorithms are applied to spiral drawings, enhancing the model's ability to capture intricate patterns. The training process utilizes 60% of the dataset, with the remaining 40% reserved for testing. In the case of spiral drawings, the ResNet50 algorithm proves instrumental. It transforms spiral drawings into pixels, facilitating classification. During testing, the pixels of current drawings are compared with previously trained CNN and ResNet50 models to identify the disease. The amalgamation of results from ResNet50-enhances spiral drawing datasets significantly and improves disease detection accuracy more than CNN. Individual's data can be given as input into the system for efficient disease detection. © 2024 IEEE.

关键词： Ability testing

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A Fast image Matching Approach in Fatigue Testing of Wall Plate Structures

A Fast Image Matching Approach in Fatigue Testing of Wall Pl...

引用

IEEE International conference on Information Communication and Signal processing (ICICSP)

作者： Zhang Wendong Shi Baoquan Chen Xianmin Lv Yuanbo National Key Laboratory of Strength and Structural Integrity AVIC Aircraft Strength Research Institute Xi'an China School of Mechano-Electronic Engineering Xidian University Xi'an China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

To address the challenges in motion vector estimation due to local non-uniform deformation of specimens during fatigue tests, this paper proposes an image matching method that combines template sub-image techniques with a Kalman filter. This method employs a mesh motion estimation model, initially using the Kalman filter to predict the matching point positions of mesh nodes. Subsequently, template matching is utilized to achieve precise matching of these nodes. The algorithm is accelerated through GPU-CPU heterogeneous parallel computing technology. Test results indicate that the GPU-accelerated image matching method attains the accuracy of the CPU-based algorithm while significantly reducing processing time, thereby fully meeting the real-time requirements of online image feature matching applications.

关键词： Accuracy Deformation image matching Signal processing algorithms Fatigue Prediction algorithms Vectors Real-time systems Kalman filters Testing

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Integration of image processing and Machine Learning Technique applied in Agriculture Sector Using Python

Integration of Image Processing and Machine Learning Techniq...

引用

Communication, Computing and Energy Efficient Technologies (I3CEET), International conference on

作者： Bishnu Deo Adarsh Mishra Adarsh Singh Amit Verma Vivak Saxena Department of Electronics and Communication Galgotia’s College of Engineering and Technology Greater Noida India CWPRS Pune

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools, has become a popular choice for implementing image processing algorithms in this field. This paper explores the applications of image processing in agriculture, emphasizing the capabilities of Python. It reviews key Python libraries, techniques, and real-world applications, demonstrating how Python enhances agricultural image processing.

关键词： Photovoltaic systems Technological innovation Reviews image processing Crops Machine learning Agriculture Libraries Telecommunication computing Yield estimation

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A Novel Extraction Algorithm for Pixel Recognition in AI images with Feature Point

A Novel Extraction Algorithm for Pixel Recognition in AI Ima...

引用

Integrated Intelligence and Communication systems (ICIICS), International conference on

作者： Jiajia Fan Bo Yuan Zhuang Jin College of Computer Guangdong University of Science and Technology Dongguan China

ISBN: (数字)9798331504960

ISBN: (纸本)9798331504977

In the era of big data, image processing still faces significant bottlenecks compared to other fields of computer science. In this paper we studied the feature point extraction algorithm based on gray points and the stereo matching technique, both of them play important roles in image processing. The feature point extraction algorithm based on gray points includes Moravec algorithm and Susan Algorithm. The results indicate that it can discover that simplified inverse filter tracking (SIFT) algorithm is the best algorithm among all the feature point extraction algorithms, which has have strong stability, fast calculating speed and high accuracy. In stereo image matching technique, we found that dense matching algorithm plays an important role in target detection and tracking in the three-dimensional reconstruction operations. By comparing the matching process between traditional nearest neighbor matching and this paper's matching algorithm, we concluded that the matching relationship in this algorithm is entirely correct.

关键词： Matched filters Target tracking image recognition image matching Object detection Feature extraction Stability analysis Classification algorithms Standards image reconstruction

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Hardware Accelerated Thermal image processing for the Detection of Induction Motor Faults Based on Statistical Features 49

Hardware Accelerated Thermal Image Processing for the Detect...

引用

49th Annual conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Alvarado-Hernandez, Alvaro ivan Osornio-Rios, Roque Alfredo Zamudio-Ramirez, Israel Antonino-Daviu, Jose Alfonso Universidad Autonoma de Queretaro Facultad de Ingenieria Queretaro Mexico Instituto Tecnológico de la Energía Universitat Politecnica de Valencia Valencia Spain

ISBN: (纸本)9798350331820

Condition monitoring and predictive maintenance of induction motors have great relevance in industrial applications. Nowadays, there are different techniques to analyze electronic signals from different types of sensors. At the same time, the application of FPGA-based hardware acceleration has gained traction in recent years due to the increasing demand for time and energy optimization. However, the application of hardware-accelerated algorithms in condition monitoring applications has yet to be explored despite its potential to improve online fault detection systems. This paper presents the implementation of an FPGA-based hardware-accelerated thermal image processing pipeline on the PYNQ Z2 board based on two image statistical features (mean and standard deviation) to detect five different induction motor mechanical fault conditions: misalignment, unbalanced load, bearing defect on the outer race, two broken rotor bars, and a healthy case that was used as reference. The hardware implementation of the thermal image statistical feature computation made it possible to reduce the computational load and the computation time on the development board. © 2023 IEEE.

关键词： Induction motors

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3rd EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2022

3rd EAI International Conference on Cognitive Computing and ...

引用

3rd EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2022

ISBN: (纸本)9783031289743

The proceedings contain 22 papers. The special focus in this conference is on Cognitive Computing and Cyber Physical systems. The topics include: Performance Evaluation of Fast DCP Algorithm for Single image Dehazing;Non Destructive Analysis of Crack Using image processing, Ultrasonic and IRT: A Critical Review and Analysis;ioT Enabled Driver Compatible Cost-Effective System for Drowsiness Detection with Optimized Response Time;Voice Based Objects Detection for Visually Challenged Using Active RFID Technology;depth Estimation and Navigation Route Planning for Mobile Robots Based on Stereo Camera;Water Level Forecasting in Reservoirs Using Time Series Analysis – Auto ARIMA Model;water Quality Monitoring Using Remote Control Boat;study of Smart City Compatible Monolithic Quantum Well Photodetector;frequency Reconfigurable Antenna for 5G Applications at n77 and n78 Bands;solar Energy Prediction using Machine Learning with Support Vector Regression Algorithm;analysis of Acoustic Channel Model Characteristics in Deep-Sea Water;A Comprehensive Review on Channel Estimation Methods for Millimeter Wave MIMO systems;comparison of Acoustic Channel Characteristics in Shallow and Deep-Sea Water;price Estimation of Used Cars Using Machine Learning algorithms;Machine Learning Framework for Identification of Abnormal EEG Signal;alzheimer’s Disease Detection Using Ensemble of Classifiers;publishing Data Objects in Data Aware Networking;youTube Comment Analysis Using Lexicon Based Techniques;Information Theoretic Heuristics to Find the Minimal SOP Expression Considering Don’t Care Using Binary Decision Diagrams;single image Dehazing Through Feed Forward Artificial Neural Network.

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Face Detection and Face Recognition using Haar Cascade Algorithm

Face Detection and Face Recognition using Haar Cascade Algor...

引用

Recent Trends in Computer Science and Technology (ICRTCST), International conference on

作者： B. Harshini Department of Electrical and Electronics Engineering VNR Vignana Jyothi Institute of Engineering & Techology Hyderabad India

ISBN: (数字)9798350351378

ISBN: (纸本)9798350351385

Human Face Detection (FD)is a demanding topic in areas of image processing and pattern identification. Facial expression conveys non-verbal cues, which plays crucial role in social relations. Facial Expression is a significant yet challenging task, as we can use it to recognize emotions and mental state of individual. In this paper, using image processing and Machine Learning (ML), we differentiate the captured image with the trained dataset and then display the state of image. These handles detection and recognizing multiple faces in real time. Face Recognition (FR) can be done using two methods like FD and FR. This paper describes use of ML algorithms in real time which is used for FD and FR that is Haar Cascade algorithm.

关键词： Emotion recognition Machine learning algorithms Face recognition image processing Machine learning Market research Real-time systems

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Research on Enhanced Perception and Attention-Driven Person Re-Identification 20

Research on Enhanced Perception and Attention-Driven Person ...

引用

20th International conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2024

作者： Wu, Cancan Li, Dong Zhang, Zhi College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Hubei Wuhan430065 China Big Data Science and Engineering Research Institute Wuhan University of Science and Technology Hubei Wuhan430065 China

ISBN: (纸本)9798350356328

When matching similarity among pedestrians in images, pedestrian re-identification algorithms are often disturbed by occlusions. A typical tactic is to improve the robustness of occlusion features in the model. However, this approach neglects the noise introduced by other pedestrians in the image, leading to limited learning of relevant information between images. To address these issues, this paper introduces a pedestrian re-identification model that leverages perception-enhanced and attention mechanisms. By enhancing the perception of non-pedestrian noise and erasing non-pedestrian features, we then employ a cross-attention mechanism to subtly embed global and local features for finer feature recognition. Finally, through context attention, we learn the interaction between pedestrian images to improve re-identification accuracy. Results from studies performed on the Market-1501, CUHK03-D, and Duke-ReID datasets indicate that the suggested model surpasses leading contemporary models regarding Rank-1 scores and mean Average Precision (mAP), while maintaining good robustness. © 2024 IEEE.

关键词： Reamers

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Design of a University Innovation and Entrepreneurship Project Management System Based on Web and Collaborative Filtering algorithms

Design of a University Innovation and Entrepreneurship Proje...

引用

image processing and Computer Applications (ICIPCA), IEEE International conference on

作者： Peng Yu Wuhan Polytechnic Wuhan Hubei China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

Given the significant challenges affecting college learners in regards to entrepreneurship and innovation as viewed in the traditional Chinese enterprise cooperation, the need for an innovative and entrepreneurship training program remains essential. This paper therefore seeks to design a project management system intended to improve entrepreneurship and innovation in universities. The system will be designed to run on a WEB-based operation module that relies on a mathematical and statistical model used to advance its prospects. An entrepreneurial and innovation classification system will further be incorporated into the system through the use of the CBLOF(t) concept. Computer algorithms will in this case play a critical role in the personalization and the optimization of the innovative and entrepreneurial project management system. Based on this, a monitoring function will equally be incorporated into the system to address abnormalities in the processing of innovative and entrepreneurial data. The outcomes of the systems are intended to enable university students to gain a deeper understanding of innovative and entrepreneurial projects, thus promoting the quality of project management.

关键词： Training Technological innovation image processing Entrepreneurship Project management Computer applications Mathematical models Classification algorithms Monitoring Optimization

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Dynamic Line Sag Monitoring Using image-Based Bézier Curve Fitting

Dynamic Line Sag Monitoring Using Image-Based Bézier Curve ...

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IEEE SSD International Multi-conference on systems, Signals and Devices

作者： Achref Abed Hafedh Trabelsi Faouzi Derbel Faculty Engineering Sciences University of Applied Sciences Leipzig Leipzig Germany Department of Electrical Engineering and Information Technology National Engineering School of Sfax Sfax Tunisia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

This paper presents an automated system for detecting the sag of overhead transmission lines using image processing. A camera, mounted centrally between two towers, is repositioned using stepper motors to ensure symmetrical alignment with the transmission line. By detecting the lowest point of the line in the image, the system estimates the sag through Bezier curve fitting and converts the pixel-based measurements into real-world dimensions. The proposed system demonstrates high precision and accuracy, providing a reliable method for sag measurement in transmission line monitoring.

关键词： Power transmission lines Accuracy image processing Heuristic algorithms Poles and towers Transmission line measurements Real-time systems Safety Curve fitting Monitoring

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