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检索条件"任意字段=2023 IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2023"

共 4813 条记录，以下是391-400 订阅

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A New Approach Monitoring Wind Turbine Clearance Based on image processing

A New Approach Monitoring Wind Turbine Clearance Based on Im...

引用

2023 ieee international conference on Electrical, Automation and computer Engineering, ICEACE 2023

作者： Shengqi, Lu Qian, Wang Weidong, Chen Qiteng Technology Wuhan Co. Ltd Department of New Energy CSSC Wuhan China

ISBN: (纸本)9798350309614

Wind turbine clearance refers to the minimum distance that must be maintained between the rotating blades of the wind turbine and the tower where the blades are installed. This clearance is very important to ensure the normal operation of the wind turbine. If the distance is too small, it may cause tower sweeping (blade impact on the tower), so it is necessary to monitor the clearance to ensure the normal operation of the wind turbine. At present, many methods based on image processing have been proposed to calculate the wind turbine clearance. Since the position of the wind generator tower in the image hardly change, the difficulty of the wind turbine clearance calculation based on image processing lies in accurately giving the profile of the blade. In this context, this paper not only integrates the traditional algorithm and deep learning algorithm, but also proposes an expansion filtering algorithm to improve the detection effect of the blade. We evaluate our method on the collected data set, the result shows that the method proposed in this paper is better than the traditional algorithm and deep learning. © 2023 ieee.

关键词： deep learning image processing wind turbine clearance

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An Efficient Anti-Tampering image Watermarking Algorithm with Low Distortion

An Efficient Anti-Tampering Image Watermarking Algorithm wit...

引用

2023 international conference on image processing and computer Vision, IPCV 2023

作者： Xie, Rongsheng Liu, Honghui School of Computer & Information Engineering Xiamen University of Technology Xiamen China

ISBN: (纸本)9781665473941

The existing anti-tampering image digital watermarking algorithms are difficult to balance the performance of watermarked image quality, tampering detection and localization. The paper proposes an efficient anti-tampering image watermarking algorithm with low distortion. The proposed algorithm dualizes the efficients of the DWT transformed image, and then modifies the DWT efficients corresponding to the sequence of embedding positions using a low-loss strategy, with the result that the values of the dualized DWT efficients are exactly equal to the corresponding watermark bits. To improve the quality of the watermarked image, the chaotic key segmentation adaptive watermarking algorithm is further proposed. The experimental results show that the proposed algorithm can not only calculate the tampering rate, but also locate the tampering location, and the quality of the watermarked image is improved. © 2023 ieee.

关键词： Discrete wavelet transforms

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Hotspot Detection of Solar Photovoltaic System: A Perspective from image processing 3

Hotspot Detection of Solar Photovoltaic System: A Perspectiv...

引用

ieee 3rd international conference on Power Engineering applications (ICPEA) - Shaping Sustainability Through Power Engineering Innovation

作者： Ishak, Nurul Huda Binti Isa, Iza Sazanita Binti bin Osman, Muhammad Khusairi Daud, Kamarulazhar bin Jadin, Mohd Shawal Univ Teknol MARA Ctr Elect Engn Studies Permatang Pauh 13500 Pulau Pinang Malaysia Univ Malaysia Pahang Fac Elect & Elect Engn Technol Pekan 26600 Pahang Malaysia

ISBN: (纸本)9781665475013

Research in solar energy has rapidly grown since its significant and contributes to the advancement in clean renewable energy technology. Effective energy management such as fault detection impacts the early-stage monitoring for the efficiency, reliability, and safety of solar photovoltaic (PV) systems. The formation of a hotspot is one of the issues commonly occurred in a PV system. However, the main limitation of hotspot detection is the difficulty to interpret specific components with erratic temperatures in the thermographic images for attributes in the intelligence detection model. In this study, a review of hotspot detection in solar PV panels using the image processing method is established based on the image processing field. The integration of image processing approach can further assist in developing automated fault detection in solar PV farms for effective preventive monitoring methods. Therefore, several aspects need to be categorized and considered accordingly for achieving accurate prediction. Several ways were discussed, and future research is suggested in this study.

关键词： hotspot solar PV system image processing

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Circulation of Transformed image Derivatives with Parameterized Aliasing in the Off-Chain Storage

Circulation of Transformed Image Derivatives with Parameteri...

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ieee international conference on Consumer Electronics (ICCE)

作者： Yoshikawa, Ayano Matsubara, Katsuya Future Univ Hakodate Hakodate Japan

ISBN: (纸本)9781665491303

In major NFT marketplaces, digital image contents such as illustrations and photographs generally reside off-chain due to cost, performance, and privacy concerns. InterPlanetary File System (IPFS), a decentralized storage system, is widely used to store and distribute off-chain data of NFT artworks. applications of digital images generally require displaying, printing, and redistributing them in a variety of sizes, colors, and formats. Unfortunately, the content addressing in IPFS impedes reusing transformation results derived from an original image since totally different IDs from the original must be given for them. They can never comprehend any relation and transition between the original and derivatives. We introduce on-demand image transform functionality and cooperated ID aliasing capability into IPFS for identifying images generated through a transform with a combination of an original's ID and parameters of the applied transform. Our implementation allows retrieving results of newly demanded transforms by inquiring about corresponding IDs for the aliases to others. A preliminary experimental result demonstrates that the proposed ID aliasing can mitigate the processing overhead by promoting reclaiming of transformed images.

关键词： NFT IPFS image processing

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Maturity Level Detection of Banana Fruit by image processing Technique 8

Maturity Level Detection of Banana Fruit by Image Processing...

引用

8th international conference on computers and Devices for Communication, CODEC 2023

作者： Maity, Indranil Kashyap, Manas Sarkar, Moubani Kumar, Rohan West Bengal Kolkata India Kolkata UEM Department of Electronics and Communication Engineering West Bengal Kolkata India

ISBN: (纸本)9798350317176

The assessment of fruit ripeness is a critical task in various agricultural and food processing applications. Traditional methods of ripeness evaluation, which relied on human judgment, were subjective and labor-intensive. In this paper, a comprehensive approach is presented for fruit ripeness detection of banana using image processing technique. An algorithm was developed in MATLAB for finding different image components of banana sample and fundamental parameters like the number of yellow and white pixels. © 2023 ieee.

关键词： image processing

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INCREMENTAL image LABELING VIA ITERATIVE REFINEMENT

INCREMENTAL IMAGE LABELING VIA ITERATIVE REFINEMENT

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ieee international conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Giunchiglia, Fausto Diao, Xiaolei Bagchi, Mayukh Univ Trento DISI Trento Italy

ISBN: (纸本)9798350302615

Data quality is critical for multimedia tasks, while various types of systematic flaws are found in image benchmark datasets, as discussed in recent work. In particular, the existence of the semantic gap problem leads to a many-to-many mapping between the information extracted from an image and its linguistic description. This unavoidable bias further leads to poor performance on current computer vision tasks. To address this issue, we introduce a Knowledge Representation (KR)-based methodology to provide guidelines driving the labeling process, thereby indirectly introducing intended semantics in ML models. Specifically, an iterative refinement-based annotation method is proposed to optimize data labeling by organizing objects in a classification hierarchy according to their visual properties, ensuring that they are aligned with their linguistic descriptions. Preliminary results verify the effectiveness of the proposed method.

关键词： Data Quality Semantic Gap Problem image Datasets Visual Properties

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Learning to Reconstruct Flow Fields from Limited Measurements

Learning to Reconstruct Flow Fields from Limited Measurement...

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image processing and computer applications (icipca), ieee international conference on

作者： Jingren Xie Zhinan Zhang Chengliang Liu School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

We study the problem of perception and reconstruction of flow fluids with limited measurements. Deep learning-based approaches have outperformed traditional methods in this setting due to the capacity and generalization of deep learning-based approaches. It still lacks a principle for designing neural architectures. Inspired by Erichson [1], this paper takes multilayer perceptron as an example and explores the neural architecture search under the guidance of traditional principles. Lots of experiments have been conducted and the results demonstrate the validity of the neural architecture search.

关键词： Fluids computer architecture computer applications Multilayer perceptrons image reconstruction

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Characterization of Disinfection of LTP Based on image processing 6

Characterization of Disinfection of LTP Based on Image Proce...

引用

6th ieee international Electrical and Energy conference, CIEEC 2023

作者： Yu, Meng Fu, Yongqiang Zhang, Ruobing Tsinghua Shenzhen International Graduate School Shenzhen China

ISBN: (纸本)9798350346671

Low-temperature plasma(LTP) has wild applications in biological engineering, especially in regeneration medical science. It is often used in wound healing and has been verified efficient in promoting wound healing of live mice. However, there has been no quantitative analysis of the characteristics of wound, such as area, rating of wound healing. This paper proposed a series of image processing methods to quantify the rate of wound healing in mice. Mice apply the treatment of proper dosage of pulsed LTP, and wound pictures are recorded. It's found that plasma-treated mice have higher wound healing rate after processing wound images with threshold segmentation and morphology and quantitative analysis. © 2023 ieee.

关键词： Disinfection

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An Algorithm of Film image Coloring and image Restoration Based on DL

An Algorithm of Film Image Coloring and Image Restoration Ba...

引用

2023 international conference on Networking, Informatics and Computing, ICNETIC 2023

作者： Deng, Peng Zhujiang College of South China Agricultural University Guangdong Guangzhou510000 China

ISBN: (纸本)9798350313314

In image processing, color is usually the most basic visual element, and it is the element that people can obtain the most effective information in cognition. It plays an important role in various fields. Black-and-white image coloring is an important part of image processing system. As a computer-aided technology, image coloring has a wide range of applications in film and television processing and old photo restoration. Because the algorithm does not have the ability to understand the movie content, it extracts the feature information of the image and maps it to the similar parts, thus completing the coloring work. According to the research, the human eye can only recognize dozens of gray levels of images, but compared with color images, the human eye can recognize thousands of colors. It can be seen that the influence of color images on human eyes is far greater than that of gray images. In addition, the gray-scale image is obviously not conducive to the feature extraction of the image information by the algorithm, so coloring and pseudo-colorizing the gray-scale image will be beneficial to the feature extraction and expression of the image. And the colored image can better express the meaning of the image, so that the human eye can capture the meaning and information of the image itself faster, better and more accurately, and then give full play to and express the value contained in the image. © 2023 ieee.

关键词： Feature extraction

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An Efficient Convolutional Multi-Scale Vision Transformer for image Classification 2

An Efficient Convolutional Multi-Scale Vision Transformer fo...

引用

2nd international conference on image processing, computer Vision and Machine Learning, ICICML 2023

作者： Zhang, Ji Chen, Zhihao Ge, Yiyuan Yu, Mingxin Beijing Information Science and Technology University School of Instrument Science and Opto-Electronics Engineering Beijing China Beijing Information Science and Technology University Computer School Beijing China Jilin University Department of Software Engineering Changchun China

ISBN: (纸本)9798350331417

This paper introduces an innovative and efficient multi-scale Vision Transformer (ViT) for the task of image classification. The proposed model leverages the inherent power of transformer architecture and combines it with the concept of multi-scale processing generally used in convolutional neural networks (CNNs). The work aims to address the limitations of conventional ViTs which typically operate at a single scale, hence overlooking the hierarchical structure in visual data. The multi-scale ViT enhances classification performance by processing image features at different scales, effectively capturing both low-level and high-level semantic information. Extensive experimental results demonstrate the superior performance of the proposed model over standard ViTs and other state-of-the-art image classification methods, signifying the effectiveness of the multi-scale approach. This research opens new avenues for incorporating scale-variance in transformer-based models for improved performance in vision tasks. © 2023 ieee.

关键词： Classification Convolutional neural networks Multi-scale Vision Transformer

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