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检索条件"任意字段=2nd International Conference on Algorithm, Image Processing and Machine Vision, AIPMV 2024"

共 318 条记录，以下是1-10 订阅

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2024 2nd international conference on algorithm, image processing and machine vision, aipmv 2024

2024 2nd International Conference on Algorithm, Image Proces...

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2nd international conference on algorithm, image processing and machine vision, aipmv 2024

ISBN: (纸本)9798350390254

The proceedings contain 76 papers. The topics discussed include: short-term forecasting of high-altitude wind fields along flight routes based on CAM-ConvLSTM 3DCNN;adaptive MSRCP-based color image enhancement method using SSA;multi-scale hybrid attention integrated with vision transformers for enhanced image segmentation;Att-CapsViT: attention-based CapsNet and vision transformer hybrid network for handwriting Chinese characters recognition;high-accuracy classification of eye diseases with pre-trained deep neural networks;abnormal clustering and cross slicing transformer for insect fine-grained image classification;Mura defect detection based on fast adaptive bidimensional empirical mode decomposition;and lightweight super-resolution reconstruction combining feature distillation and attention mechanism.

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Proceedings - 2024 2nd international conference on machine vision, image processing and Imaging Technology, MVIPIT 2024

Proceedings - 2024 2nd International Conference on Machine V...

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2nd international conference on machine vision, image processing and Imaging Technology, MVIPIT 2024

ISBN: (纸本)9798331543037

The proceedings contain 44 papers. The topics discussed include: image fusion algorithm based on frequency enhancement and shared tensor dictionary learning;research and comparison of ceramic image generation through fine-tuning stable diffusion;an attention module enhanced deep convolutional neural network for automatic hippocampus segmentation using MRI images;a few-shot learning based environmental microorganism image classification method;model pruning for infrared-visible image fusion;dual-branch and multi-scale information complementary network for hard exudates segmentation in color fundus images;an efficient lightweight network for breast cancer segmentation;and entity-enhanced question representation for knowledge-based visual question answering.

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Data, Information and Computing Science - Proceedings of the 2nd international conference, CDICS 2024

Data, Information and Computing Science - Proceedings of the...

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2nd international conference on Data, Information and Computing Science, CDICS 2024

ISBN: (纸本)9781643685762

The proceedings contain 10 papers. The topics discussed include: comparative analysis of deep learning methods for automated diagnosis of pulmonary diseases from chest X-ray images: a study based on ICD-10;deep residual learning for fruits of ceremonial plants recognition;PivisionSort: integrating image processing and machine learning for material recognition on conveyor belts;intelligent detection of potholes using SSD algorithm and auto-alert notification system for user;the use of motion and gaze features to detect speaking intention in VR-mediated communication environments;optimized retinal vessel segmentation using IS-Net and high-resolution dataset;a framework for adopting machine learning in the clinical domain;and a study on a domain BERT-based named entity recognition method for faulty text.

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Analytical Insight into Cutting-Edge image Captioning for Advanced ChatGPT Functionality 2nd

Analytical Insight into Cutting-Edge Image Captioning for Ad...

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2nd international conference on Business Data Analytics, ICBDA 2023

作者： Manisha Kumar, Avadhesh Yadav, Dileep Kumar School of Computer Science Engineering Galgotias University Greater Noida India SCSET Bennett University Greater Noida India

ISBN: (纸本)9783031807770

At present, Artificial intelligence (AI) and machine learning (ML) algorithm contribute to transforming the technology environment. Specifically, the development of chatbots has been on a rapid-fire overhead in recent years. The image captioning with ChatGPT is most growing field for text generating for the future. In recent years, the innovation of virtual assistants has boomed with ChatGPT becoming an increasingly popular language model of artificial intelligence. This work evaluates the principles, goals, and problems of ChatGPT in the present study. This study explores the technology's background, growth, and development, along with its applications. In addition, we will look at the benefits of connecting information by ChatGPT in image processing and content writing that the image exposes. However, we believe that ChatGPT will contribute to improving human-AI interaction and bridging scientific gaps by focusing on various research and development opportunities, such as energy conservation, privacy, and security, expanding its scope to other technologies like robotics and computer vision, deep learning, and ML. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： ChatGPT model Computer vision NLP

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2nd international conference on Intelligent Systems and Data Science, ISDS 2024

2nd International Conference on Intelligent Systems and Data...

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2nd international conference on Intelligent Systems and Data Science, ISDS 2024

ISBN: (纸本)9789819796120

The proceedings contain 48 papers. The special focus in this conference is on Intelligent Systems and Data Science. The topics include: machine Learning-Based Acoustic System for Maturity Classification of Durian Fruit Before Harvesting;an Embedded System for Eggs Freshness Detection;deep Learning for Fashion Consulting;automatic Segmentation of Masses on Mammograms Using Fuzzy Logic;EEC-IGE: Diagnosing Eye Diseases with DL-CNN and Integrated Gradients;optimizing Deep Learning for Skin Disease Classification: Leveraging Bayesian Hyperparameter Tuning and Top-K Accuracy Metrics;medical image Segmentation by Improved Nested Unet;traffic Flow Velocity Estimation from Single Camera Data;Developing an AI vision-Based Approach for Extracting Traffic Information from images;proposal Feature Fusion Attention Network to Eliminate Fog Effects for Camera;a Multilevel Classification Approach for Chart Identification;building a Wastewater Network Graph from Inspection Videos;mutual Information-Based Feature Selection for Fault Diagnosis of Induction Motor;FLGAN-IDS: Intrusion Detection Using GANs with Federated Learning;ViTIP: AI-Powered Vietnamese Traditional Instrument Preservation System Using 3D Space;improved Key Player Identification algorithm in Social Networks Using Parallel Splitting Method;diffusion-Craft Framework for Generating Vietnamese Advertising Banners;SBoC: A Segment-Based Bag of Clusters Approach for Document Clustering;An Enhanced Solution for Multilingual Text-to-MIDI Generation;RACOS: AI-Routed Chat-Voice Admission Consulting Support System;Generating ERD and DDL Scripts from Vietnamese Natural Language Text by Using a Multi-phase;topic Modelling and Sentiment Analysis of Visitor Experience at Historical Tourism Sites.

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2nd international conference on Intelligent Systems and Data Science, ISDS 2024

2nd International Conference on Intelligent Systems and Data...

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2nd international conference on Intelligent Systems and Data Science, ISDS 2024

ISBN: (纸本)9789819796151

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IVCM image Enhancement Based on Improved Guided Filter 2

IVCM Image Enhancement Based on Improved Guided Filter

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2nd international conference on algorithm, image processing and machine vision, aipmv 2024

作者： Qiao, Wen Wang, Fang Yu, Hua Gao, Jiying Taiyuan University of Technology Machine Vision Shanxi Province Taiyuan China Shanxi Eye Hospital Department of Cornea Shanxi Province Taiyuan China

ISBN: (纸本)9798350390254

In order to improve the low-quality of manually captured IVCM(In Vivo Confocal Microscopy, IVCM)images, this paper proposes an IVCM image matching algorithm with guided filter enhancement based on meanshift clustering. Firstly, the original IVCM image is clustered and segmented using the meanshift algorithm, and the segmented image is used as the guiding image to realize the guided filter enhancement of the image;secondly, the key points of the neural texture of the IVCM image are extracted by the SIFT(scale-invariant feature transform)algorithm;finally, the two-step matching method is used to realize the matching of the two IVCM images. After experiments, it is proved that the proposed algorithm in this paper can extract the key information of the neural texture in the IVCM image more effectively and improve the accuracy of image alignment. © 2024 IEEE.

关键词： Wiener filtering

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A Monocular vision-based Method for In-plane Moving Target Positioning and Pose Determination 2

A Monocular Vision-based Method for In-plane Moving Target P...

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2nd international conference on algorithm, image processing and machine vision, aipmv 2024

作者： Yue, Chenyang Cao, Rui Zhang, Zhixiang Liu, Boyu Wang, Binbin Li, Faxin Northwest Institute of Nuclear Technology Luoyang Xi'an710024 China

ISBN: (纸本)9798350390254

Monocular vision is a powerful method for determining the spatial position and pose of a target object. When the target trajectory is situated within the plane, we propose an approach based on monocular vision to characterize an in-plane moving target, transforming the matter into a line-plane intersection. According to the established error analysis model, the optimal observation angle (including the angle between the camera optical axis and plane) was 90°, and the analysis results verified the theoretical feasibility of our method. Simulated experiments were conducted to evaluate the accuracy of the algorithm. Compared with traditional binocular vision, the results show that the proposed method is superior in calculating the position, velocity, and pose of the in-plane moving target. The designed experiments exhibit an equivalent level of measurement accuracy. © 2024 IEEE.

关键词： error analysis monocular vision pose determination target positioning

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Multi-Scale Hybrid Attention Integrated with vision Transformers for Enhanced image Segmentation 2

Multi-Scale Hybrid Attention Integrated with Vision Transfor...

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2nd international conference on algorithm, image processing and machine vision, aipmv 2024

作者： Gong, Zhaoxuan Chanmean, Meas Gu, Wenwen School of Computer Engineering Shenyang Aerospace University Liaoning Shenyang China School of Computer Science Shenyang Aerospace University Liaoning Shenyang China

ISBN: (纸本)9798350390254

In this paper, we present an advanced approach for image segmentation that enhances vision Transformers (ViTs) by integrating multi-scale hybrid attention mechanisms. While ViTs use self-attention to capture global dependencies in images, they often miss local details crucial for segmentation tasks. Our method addresses this by incorporating convolutional layers with different kernel sizes to extract local features at multiple scales. These features are then merged with the global self-attention outputs, creating a hybrid attention map that captures both fine details and overall structures. Testing on standard benchmarks shows our approach significantly improves segmentation accuracy and robustness compared to traditional ViTs, demonstrating its potential for handling complex visual scenes. © 2024 IEEE.

关键词： Convolutional neural networks

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3D Coordinate Measurement using an Optical-Probe Single-Camera vision System with an Initial Measuring Net 2

3D Coordinate Measurement using an Optical-Probe Single-Came...

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2nd international conference on algorithm, image processing and machine vision, aipmv 2024

作者： Wang, Wei Guo, Lei Sun, Bo Liu, Haiqing School of Precision Instrument and Opto-electronics Engineering Tianjin University Tianjin China Technology Co. Ltd Hangzhou China

ISBN: (纸本)9798350390254

The single-camera vision measurement system based on an optical probe (a light pen) has been developed quickly and used widely in the field of 3D coordinate measurement because of its simplicity of operation, low costs, and portability. However, as the measuring space enlarges and requirements of measuring uncertainty grow, the limitations of the optical-probe single-camera 3D coordinate vision measurement system prevent it from satisfying requirements. Thus, an optical-probe single-camera vision method based on an initial net is proposed in this paper. We incorporate bundle adjustment, which is largely used in movable vision measurement. Using the proposed method, we applied a fixed-size optical probe to realize small- and large-scale measurements, maintaining the same accuracy. Experiments verified the feasibility of the proposed method. © 2024 IEEE.

关键词： Probes

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