PRNet: 3D Object Detection Network-Based on Point-Region Fusion by Yufei Fu, Yuhao Guo, Hui Hu

“…To address this issue, this paper proposes a 3D object detection network based on point cloud and image fusion. This network employs a fusion module named PRF (Point-Region Fusion), utilizing the K-Nearest Neighbors (KNN) algorithm to find the nearest K points corresponding to point cloud features. …”
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Multi-channel HD-SDI video transmission system based on Hi3559 by Wang Yi, Zhang Yu, Qian Hongwen

“…In order to make better use of Hi3559′s powerful video image processing capabilities in the field of industrial sites and security monitoring, to achieve long-distance transmission of high-definition video and intelligent algorithms，adopting Hi3559+FPGA hardware architecture, using the coaxial cable transmission method with the high-definition digital interface(HD-SDI) video equalizer, this paper designs and realizes the multi-channel 1080P high-definition video transmission system. …”
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Plataforma de desarrollo para el control en tiempo real de estructuras cinemáticas con realimentación visual//Platform to develop real time visual servoing control in kinematics sy... by René González-Rodríguez, Luis Hernández-Santana

“…The platform has a generic design with the possibility to implement direct or look and move visual servoing systems. For the image processing we present a generic design allowing the use of any image processing library like Matrox MIL,<br />Intel IPP, OpenCV or any algorithms for image capture and target characteristics extraction. …”
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High-Speed 3D Vision Based on Structured Light Methods by Leo Miyashita, Satoshi Tabata, Masatoshi Ishikawa

“…In order to accelerate 3D vision and control the dynamic targets in real time, high-speed vision devices and high-speed image processing algorithms are essential. In this review, we revisit the basic strategy, triangulation as a suitable measurement principle for high-speed 3D vision, and introduce state-of-the-art 3D measurement methods based on high-speed vision devices and high-speed image processing utilizing structured light patterns. …”
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The Effect of Derived Features on Art Genre Classification with Machine Learning by Didem Abidin

“…This metadata contains information about the nationalities and the period that the artist lived. Image filters are also applied to the images but the results show that applying only image filters on the dataset used in the study did not perform well. …”
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A review of lightweight convolutional neural networks for ultrasound signal classification by Bokun Zhang, Zhengping Li, Yuwen Hao, Lijun Wang, Xiaoxue Li, Yuan Yao

“…Ultrasound signal processing plays an important role in medical image analysis. …”
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A Review on Glaucoma Disease Detection Using Computerized Techniques by Faizan Daud, Rakhshanda Imtiaz, Hussain Ahmad Madni, Haroon Ahmed Khan, Tariq M. Khan, Mohammad A. U. Khan, Syed Saud Naqvi

“…Readers would be able to understand the challenges glaucoma presents from an image processing and machine learning stand-point and will be able to identify gaps in current research.…”
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An Automated Semantic Segmentation Methodology for Infrared Thermography Analysis of the Human Hand by Melchior Arnal, Cyprien Bourrilhon, Vincent Beauchamps, Fabien Sauvet, Hassan Zahouani, Coralie Thieulin

“…The results obtained are very positive: we were able to decompose the images acquired via IRT with our developed algorithms, regardless of the temperature variation, and this with processing times of less than a second. …”
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DoubleNet: A Method for Generating Navigation Lines of Unstructured Soil Roads in a Vineyard Based on CNN and Transformer by Xuezhi Cui, Licheng Zhu, Bo Zhao, Ruixue Wang, Zhenhao Han, Kunlei Lu, Xuguang Feng, Jipeng Ni, Xiaoyi Cui

“…These subnetworks interact through two feature fusion networks, which operate in both the encoder and decoder stages, facilitating a more integrated feature extraction process. Additionally, we utilized a specially annotated dataset comprising images fused with RGB and mask, with five navigation points marked to enhance the accuracy of point localization. …”
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Industrial-Grade 3D Detection for Laser Cleaning of Metallic Components Based on Neural Radiance Fields and Temporal-Spatial Learning by Dandan Qi

“…The algorithm is used for accurate monitoring of metal laser cleaning process. …”
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Review of information hiding on Chinese text by Guohua WU, Lichun GONG, Lifeng YUAN, Ye YAO

“…Text information hiding is an important technology to protect the security and integrity of text content.The research progress of Chinese text information hiding was reviewed.According to the clue of Chinese text information hiding,the existing algorithms were divided into three categories,algorithms based on text images,algorithms based on text format and algorithms based on text content.The implementation process of each type of algorithm was elaborated and the advantages and disadvantages of the algorithm were analyzed.At the same time,their principles,embedded capacity and anti-attack capability was compared and analyzed.In addition,the problems existing in Chinese text information hiding technology was summarized,and the research trends were discussed in the future.It is expected to provide reference for research in this field.…”
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Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review by Vishal Gaurav, Chander Grover, Mehul Tyagi, Suman Saurabh

“…Materials and Methods: A literature review on AI in nail disorders was conducted via PubMed and Google Scholar, yielding relevant studies. AI algorithms, particularly deep convolutional neural networks (CNNs), have demonstrated high sensitivity and specificity in interpreting nail images, aiding differential diagnosis as well as enhancing the efficiency of diagnostic processes in a busy clinical setting. …”
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Using an Improved Regularization Method and Rigid Transformation for Super-Resolution Applied to MRI Data by Matina Christina Zerva, Giannis Chantas, Lisimachos Paul Kondi

“…The validation of clinical MRI datasets demonstrates that our approach achieves superior performance compared to traditional algorithms, yielding enhanced image clarity and quantitative improvements in metrics such as the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM).…”
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A Shield Segment Bolt Detection and Localization Method Based on Ellipse Detection by Jie Liu, Shuaishuai Liu, Zhendong He, Yanqiu Xiao, Guangzhen Cui, Pengpeng Wang

“…In response to the issue of decreased elliptical detection accuracy due to circular arc defects, an arc-cluster-based elliptical detection algorithm is further proposed, which encompasses key steps such as image preprocessing, arc clustering, and least squares fitting. …”
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A contrast enhanced representation normalization approach to knowledge distillation by Zhiqiang Bao, Di Zhu, Leying Du, Yang Li

“…The experimental results demonstrate that the Contrast Enhanced Representation Normalization Distillation algorithm outperforms the Contrastive Representation Distillation algorithm on the CIFAR100 and ImageNet datasets, and shows remarkable performance compared with other state-of-the-art knowledge distillation methods.This not only enables the deployment of models on resource-constrained devices, but also demonstrates extensive potential application values in tasks such as image segmentation, providing strong support for related research and practical applications.…”
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Surface reconstruction based on the camera relative irradiance by Bin Yao, Weifang Sun, Binqiang Chen, Tianxiang Zhou, Xincheng Cao

“…The method mainly involves two aspects: the calibration process and the surface reconstruction process. The purpose of the calibration process is to find the relation between the image gray-scale value and the relative irradiance of the charge-coupled device sensor in different expose conditions. …”
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Neuroimaging informatics framework for analyzing rare brain metastasis patterns in pleural mesothelioma using hybrid PET CT by Sumit Kumar Agrawal, Indra Prakash Dubey, Anoop Kumar Nair, Anurag Jain, Abhishek Mahato, Rajeev Kumar

“…Our methodology combines sophisticated neuroinformatics technologies with AI-driven image processing algorithms to improve hybrid PET-CT scans' spatial and metabolic resolution. …”
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Direct and Practical Identification for Back Focal Plane Based Surface Plasmon Microscopy by Bei Zhang, Qiusheng Wang, Ang Li, Xiqi Wang

“…Compared to previous morphology approaches, the proposed one features: i) it is applicable in BFP images with non-concentricity; ii) the algorithm of Fourier Correlation Analysis (FCA) maximizes SPP while minimizes random coherent noises, which makes it extremely suited for BFP images with significant low-quality; (iii) it takes much less time for one identification process and the entire identification can be operated automatically.…”
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Digital Colorimetry of Non-steroidal Anti-inflammatory Drugs: Identification Using Principal Component Method by A. A. Chaplenko, O. V. Monogarova, K. V. Oskolok

“…The obtained digital images of the cells were processed in the ImageJ program using the RGB 24 bit color model (8 bits per channel).Results and discussion. …”
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Review of information hiding on Chinese text by Guohua WU, Lichun GONG, Lifeng YUAN, Ye YAO

“…Text information hiding is an important technology to protect the security and integrity of text content.The research progress of Chinese text information hiding was reviewed.According to the clue of Chinese text information hiding,the existing algorithms were divided into three categories,algorithms based on text images,algorithms based on text format and algorithms based on text content.The implementation process of each type of algorithm was elaborated and the advantages and disadvantages of the algorithm were analyzed.At the same time,their principles,embedded capacity and anti-attack capability was compared and analyzed.In addition,the problems existing in Chinese text information hiding technology was summarized,and the research trends were discussed in the future.It is expected to provide reference for research in this field.…”
Get full text