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

共 15578 条记录，以下是11-20 订阅

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Liquid Filling Quality Control System for Beverage Industry Using image processing (CNN) 24

Liquid Filling Quality Control System for Beverage Industry ...

引用

24th International conference on Control, Automation and systems

作者： Chatchapol, B. Autanan, W. Anan, W. Rajamangala Univ Technol Lanna Fac Elect Engn Dept Elect Engn Chiang Mai 50300 Thailand Rajamangala Univ Technol Lanna Fac Engn Dept Elect Engn & Automat Control Syst Chiang Mai Thailand Chiang Mai Univ Fac Engn Robot Engn & AI Chiang Mai 50200 Thailand

ISBN: (纸本)9798331517939;9788993215380

The beverage industry has been leveraging automation to enhance production efficiency. An essential advancement involves the use of AI and image processing to ensure the high quality of products. image processing systems employ sophisticated algorithms to meticulously inspect specific aspects of the production process (liquid level, lid sealing, text print). The CNN algorithm is primarily utilized to scrutinize water bottle images to verify their quality. Maintaining consistent production speed poses a challenge, underscoring the importance of examining the image processing system from various perspectives. The research proposed implementing a system that oversees liquid filling quality through an image processing algorithm, a camera module, and conveyor belt speed control to address. This system monitors liquid levels and bottle capping while the production line is operational. On average, the system achieves a 98.89 percent accuracy rate in detecting liquid levels and a 100 percent accuracy rate in sealing the lids. Furthermore, the conveyor speed control can adjust automatically to detect variations in product movement speed.

关键词： Beverage Liquid Filling image processing CNN algorithm

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vision-Based Assistive systems for visually Impaired People: A Review 5th

Vision-Based Assistive Systems for Visually Impaired People:...

引用

5th International conference on Optical and Wireless Technologies (OWT)

作者： Mandia, Sandeep Kumar, Ashok Verma, Karan Deegwal, Jitendra Kumar Govt Mahila Engn Coll Dept Elect & Commun Engn Ajmer 305002 India Natl Inst Technol Dept Comp Sci & Engn Delhi 110040 India Govt Engn Coll Dept Elect Instrumentat & Control Engn Ajmer 305025 India

ISBN: (纸本)9789811916458;9789811916441

This research reviews the current state of vision-based assistive solutions for the visually impaired (vi). The paper focuses primarily on camera-based assistive system solutions. We focused the review on vision-based assistive solutions proposed for vi people. The sensors, image processing algorithms, and wireless communication protocols employed in the survey have been summarised. Acoustic output devices were used in addition to cameras, Radio Frequency Identification (RFID), and Global Positioning System (GPS). vision-based assistive solutions have evolved from traditional image processing techniques to machine learning to deep learning for assistance for vi users. Wi-Fi and Bluetooth devices are the most common wireless technologies used by vision-based assistive systems. The literature does not adequately leverage the optimization of deep learning models for edge devices.

关键词： visually impaired people vision-based assistive systems Wireless technologies

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REMOviNG REFLECTIVE FLARE IN REAL-WORLD CONDITIONS 31

REMOVING REFLECTIVE FLARE IN REAL-WORLD CONDITIONS

引用

2024 International conference on image processing

作者： Lan, Fengbo Chen, Chang Wen Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China

ISBN: (纸本)9798350349405;9798350349399

The increasing prevalence of mobile devices has led to significant advancements in mobile camera systems and improved image quality. Nonetheless, mobile photography still grapples with flare corruptions such as reflective flare. The absence of a comprehensive real image dataset tailored for mobile phones hinders the development of effective flare mitigation techniques. To address this issue, we present a novel real image dataset specifically designed for mobile camera systems, focusing on flare removal. Capitalizing on the distinct properties of real images, this dataset serves as a solid foundation for developing advanced flare removal algorithms. The dataset comprises over 1,100 pairs of high-quality, full-resolution images for reflective flare, which generate 2,200 paired patches, ensuring broad adaptability across various imaging conditions. Experimental results demonstrate that networks trained with synthesized data struggle to cope with the complex lighting settings present in this real image dataset. Our dataset is expected to enable an array of new research in flare removal and contribute to substantial improvements in mobile image quality, benefiting mobile photographers and end-users alike.

关键词： flare removal reflective flare real image dataset

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Application of Various Novel Computer image processing (CIP) algorithms in Digital Media Art images

Application of Various Novel Computer Image Processing (CIP)...

引用

2025 International conference on Multi-Agent systems for Collaborative Intelligence, ICMSCI 2025

作者： Du, Xian Shanghai Institute of Visual Arts Shanghai201620 China

ISBN: (纸本)9798331509828

With the continuous development of digital image processing algorithms, its application scenarios have been integrated from the simple research of a single image and a single algorithm to a multi-algorithm fusion analysis paradigm. Therefore, this study proposes a digital media art image analysis framework that combines multiple computer image processing (CIP) algorithms. This breakthrough covers three core architectures: image edge extraction, image style transfer, and image compression. In the image edge extraction module, this study designed an improved edge detection algorithm based on de-noising auto-encoder. This algorithm improves the accuracy of edge detection through multi-directional feature extraction and (I, O)-fuzzy rough set optimization, while maintaining global stability. In the image style transfer module, this study proposed a dual-module network. The network includes a texture translation network and a perceptual loss network, and achieves cross-domain style transfer through a fusion model. At the same time, the algorithm optimizes the perceptual loss function to enhance semantic matching capabilities. In the image compression module, this study uses chaotic systems to construct an optimized measurement matrix. Specifically, through a distributed data parallel training framework, a compression method based on the LPAC gradient sparse algorithm is constructed. By testing the three modules separately, the experimental results confirm the effectiveness of the proposed algorithm. © 2025 IEEE.

关键词： image compression

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HIGHLY CONSTRAINED CODED APERTURE IMAGING systems DESIGN viA A KNOWLEDGE DISTILLATION APPROACH 31

HIGHLY CONSTRAINED CODED APERTURE IMAGING SYSTEMS DESIGN VIA...

引用

2024 International conference on image processing

作者： Suarez-Rodriguez, Leon Jacome, Roman Arguello, Henry Univ Ind Santander Bucaramanga Colombia

ISBN: (纸本)9798350349405;9798350349399

Computational optical imaging (COI) systems have enabled the acquisition of high-dimensional signals through optical coding elements (OCEs). OCEs encode the high-dimensional signal in one or more snapshots, which are subsequently decoded using computational algorithms. Currently, COI systems are optimized through an end-to-end (E2E) approach, where the OCEs are modeled as a layer of a neural network and the remaining layers perform a specific imaging task. However, the performance of COI systems optimized through E2E is limited by the physical constraints imposed by these systems. This paper proposes a knowledge distillation (KD) framework for the design of highly physically constrained COI systems. This approach employs the KD methodology, which consists of a teacher-student relationship, where a high-performance, unconstrained COI system (the teacher), guides the optimization of a physically constrained system (the student) characterized by a limited number of snapshots. We validate the proposed approach, using a binary coded apertures single pixel camera for monochromatic and multi-spectral image reconstruction. Simulation results demonstrate the superiority of the KD scheme over traditional E2E optimization for the designing of highly physically constrained COI systems.

关键词： Computational Optical Imaging Knowledge Distillation Optical Coding Elements End-to-End Optimization

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Impacts of image Compression on the Detection Quality of a Novel Real-Time image processing Platform 26

Impacts of Image Compression on the Detection Quality of a N...

引用

IEEE 26th International conference on Intelligent Transportation systems (ITSC)

作者： Mehrke, Jannik Volk, Georg Stumpp, Yannik Bringmann, Oliver Terzis, Anestis Ulm Univ Appl Sci Inst Commun Technol Ulm Germany Univ Tubingen Dept Comp Engn Tubingen Germany

ISBN: (纸本)9798350399462

Cloud-based data processing latency mainly depends on the transmission delay of data to the cloud and the used data processing algorithm. To minimize the transmission delay, it is important to compress the transferred data without reducing the quality of the data. When using data compression algorithms, it is important to validate the impact of these algorithms on the detection quality. This work evaluates the effects of image compression and transmission over wireless interfaces on state of the art neural networks. Therefore, a modern image processing platform for next generation automotive processing architectures, as used in software defined vehicles, is introduced. The impacts of different image encoders as well as data transmission parameters are investigated and discussed.

关键词： image compression

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A Compact Real-Time Thermal Imaging System Based on Heterogeneous System-on-Chip 30

A Compact Real-Time Thermal Imaging System Based on Heteroge...

引用

30th IEEE International conference on Embedded and Real-Time Computing systems and Applications (RTCSA)

作者： Oh, Hyun Woo Choi, Cheol-Ho Cha, Jeong Woo Choi, Hyunmin Shin, Jung-Ho Han, Joon Hwan Hanwha Syst Infra Technol R&D Ctr Seongnam South Korea

ISBN: (纸本)9798350387964;9798350387957

This paper presents a real-time embedded thermal imaging system architecture for compact, energy-efficient, high-quality imaging utilizing heterogeneous system-on-chip (SoC) and uncooled infrared focal plane arrays (IRFPAs). Unlike previous systems that organized separate devices for complex image processing, our system provides integrated image processing support for robust sensor-to-surveillance. The image processing organizes two algorithm stacks: a non-uniformity correction stack to mitigate the distinctive noise vulnerabilities of uncooled IRFPAs, and an image enhancement stack including contrast enhancement and temporal noise filters. We optimized these algorithms for domain-specific factors, including asymmetric multiprocessing (AMP), cache organization, single instruction multiple data (SIMD) instructions, and very long instruction word (VLIW) architectures. The implementation on the TI TDA3x SoC demonstrates that our system can process 640x480, 60 frames per second (FPS) videos at a peak core load of 57.5% while consuming power less than 2.2 W for the entire system, denoting the possibility of processing the 1280x1024, 30 FPS videos from the cutting-edge uncooled IRFPAs. Additionally, our system improves power efficiency by 9.42% and 9.96% at 30 and 60 FPS, respectively, compared to the state-of-the-art when executing similar image processing algorithms.

关键词： Thermal Imaging image processing Heterogeneous Computing SIMD Real-Time Embedded systems

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Advancing Industry 4.0 with Real-Time Machine vision Integration in Cyber-Physical systems 3

Advancing Industry 4.0 with Real-Time Machine Vision Integra...

引用

3rd International conference on Computing and Machine Intelligence (ICMI)

作者： Hamza, Syed Amir Jesser, Alexander Heilbronn Univ HHN Inst Intelligent Cyber Phys Syst ICPS Heilbronn Germany

ISBN: (纸本)9798350372977;9798350372984

This study introduces a machine vision system integrated into cyber-physical systems (CPS) for enhanced industrial control. The system employs a specialized script for real-time image processing and edge detection, with a focus on precision and speed. Results showcase the system's rapid processing capabilities and high-accuracy feature detection, facilitated by machine learning algorithms that enable adaptability and iterative improvement. The system distinguishes itself by not only providing rapid and accurate feature recognition but also by outputting precise coordinates, crucial for micron-level manufacturing precision. An intuitive human-machine interface ensures seamless operation within industrial workflows. This integration significantly improves automated quality control and operational efficiency, demonstrating the system's potential to advance smart manufacturing in line with Industry 4.0 standards.

关键词： Cyber-Physical systems (CPS) Machine vision systems Real-Time image processing Edge Detection Smart Manufacturing Industry 4.0 Automated Quality Control Machine Learning algorithms Precision Manufacturing

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Enhanced K-means Color Clustering Based on SLIC Superpixels Merging incorporated within the Entomology Software: AInsectID

Enhanced K-means Color Clustering Based on SLIC Superpixels ...

引用

IEEE conference on Evolving and Adaptive Intelligent systems (IEEE EAIS)

作者： Sadia, Haleema Alam, Parvez Univ Edinburgh Sch Engn Edinburgh Scotland

ISBN: (纸本)9798350366235;9798350366242

Superpixel-based segmentation is an important preprocessing step for the simplification of image processing. The subjective nature behind the determination of optimal cluster numbers in segmentation algorithms can result in either under-or over-segmentation burdens, depending on the image type. Insect wings, with their intricate color patterns, pose significant challenges for the accurate capture of color diversity in clustering algorithms, assuming a spherical and isotropic cluster distribution is used. This paper introduces a hybrid approach for color clustering in insect wings, integrating the Simple Linear Iterative Clustering (SLIC) method to generate the initial superpixels, and a DeltaE 2000 function the precisely discriminated merging of superpixels. Color differences between superpixels serve to measure homogeneity during the merging process. The proposed new algorithm demonstrates enhanced segmentation as it overcomes the issue of over-segmentation and under-segmentation, as evidenced by the results derived from the Boundary Recall, Rand index, Under-segmentation Error, and Bhattacharyya distance using ground truth data. The Silhouette score and Dunn Index are also used to quantitatively evaluate the efficacy of our new proposed clustering technique.

关键词： image processing Superpixels SLIC Color Merging K-means Clustering

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A Novel visual Communication Scenario Based on image processing algorithms 2

A Novel Visual Communication Scenario Based on Image Process...

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2nd International conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Yang, Jinhua Hou, Li Xijing University Shaanxi Xi'an710123 China

ISBN: (纸本)9798331505745

In order to comply with the trend of intelligent visual communication, this study proposed an innovative visual communication scenario based on image processing algorithms. The framework aims to optimize traditional key technologies such as the image generation, editing, style transfer and image compression. First, as the foundation of visual communication, this study proposes a generative adversarial network model based on text semantic information for image generation and editing. The model achieves stable image generation and efficient editing from a theoretical level through paired training of text and image pairs. Secondly, for image style transfer, this study designed an improved VGG19 convolutional neural network. At the same time, the adaptive instance normalization technology was combined to optimize the effect of style transfer. Finally, in terms of image compression, the study proposed an improved generative adversarial network (REviSED-GAN) model. This model can dynamically adjust the compression error based on structured information to improve image compression efficiency. Through comparative tests, the proposed image style transfer and image compression algorithms have shown excellent performance in terms of structural similarity, image quality and compression ratio. © 2025 IEEE.

关键词： visual communication

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