Technology applications in bovine gait analysis: A scoping review. by Amir Nejati, Anna Bradtmueller, Elise Shepley, Elsa Vasseur

“…The second most applied technology was VB (34.1% of studies), which predominately consists of video analysis and image processing systems. Accelerometers, another technological method to measure gait characteristics, were used in 14.6% of studies. …”
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Edge Computing-Based Machine Vision for Non-Invasive and Rapid Soft Sensing of Mushroom Liquid Strain Biomass by Libin Wu, Guimiao Xiao, Deyao Huang, Xiandong Zhang, Dapeng Ye, Haiyong Weng

“…The cascaded machine vision model mainly consists of three steps: first, the object detection task to locate the observation window, achieving a mean Average Precision (mAP50:95) of 82.3% with 78.7 GFLOPs; then, the segmentation task to extract liquid strain data within the observation window, yielding a mean intersection over union (MIoU) of 85.9% with 110.4 GFLOPs; and finally, calculating mycelium biomass indices via the morphological image processing task. The correlation between Edge CV inference and manual measurement showed an R² of 0.963 and an RMSE of 0.027 for normalized biomass indices, demonstrating a robust and consistent trend. …”
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Impact of the Luding Earthquake on the Area of Potentially Suitable Habitat for <i>Batrachuperus</i> Species in the Gongga Mountain National Nature Reserve by Xinlong Song, Xiuying Liu, Xiaoao Zheng, Jian Song, Zhangqiang You, Jianli Xiong

“…The main objective of this study was to evaluate the impact of the Luding earthquake on the area of potentially suitable habitat for the <i>Batrachuperus</i> species by combining Maxent modeling, remote sensing image processing, and GIS methods. The results showed that precipitation, temperature, and slope were the most important variables affecting the distribution of the <i>Batrachuperus</i> species. …”
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The effects of linear energy density and gas environment on droplet spatter characteristics and dynamics during selective laser melting by Guang Yang, Qi Liu, Da An, Xiangming Wang, Ranliang Wu, Han Xie

“…Utilizing high-speed imaging technology and a novel image processing method, we developed a new spatter feature extraction algorithm to analyze the number, area, angle, and speed of the spatter under different energy densities and protective gas directions. …”
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A Real-Time Semantic Segmentation Method of Sheep Carcass Images Based on ICNet by Shida Zhao, Guangzhao Hao, Yichi Zhang, Shucai Wang

“…The experimental results show that for the sheep carcass image datasets, the segmentation accuracy and MIoU of our method are 97.68% and 88.47%, respectively. The single image processing time is 83 ms. Besides, the MIoU of U-Net and DeepLabv3 is 0.22% and 0.03% higher than the ICNet, but the processing time of a single image is longer by 186 ms and 430 ms. …”
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THE USE OF ARTIFICIAL INTELLIGENCE ON COLPOSCOPY IMAGES AND SEGMENTAL VOLUMES, CONSTRUCTED FROM MRI AND CT IMAGES, IN THE DIAGNOSIS AND STAGING OF PRECANCERS, CERVICAL CANCERS AND... by Hlescu Cristian Stefan, Tudor Florin Ursuleanu, Roxana Grigorovici, Andreea Roxana Luca, Ramona Elena Teiu, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici

“…This study will also evaluate current advancements in DICOM image processing using techniques such as volume rendering, transfer functions for opacity and color, and shades of gray from DICOM images projected in a three-dimensional space. …”
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The radial spreading of volcanic umbrella clouds deduced from satellite measurements by Fred Prata, Andrew T. Prata, Rebecca Tanner, Roy G. Grainger, Michael Borgas, Thomas J. Aubry

“…The umbrella cloud morphology is evaluated using digital image processing tools in a Lagrangian frame of reference. …”
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Chat GPT 4o vs residents: French language evaluation in ophthalmology by Leah Attal, Elad Shvartz, Nakhoul Nakhoul, Daniel Bahir

“…Its performance in image processing was significantly improved compared to other chatbots, though still inferior to text-based processing. …”
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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor by Omar AlShorman, Muhammad Irfan, Nordin Saad, D. Zhen, Noman Haider, Adam Glowacz, Ahmad AlShorman

“…Moreover, these techniques include signal/image processing, intelligent diagnostics, data fusion, data mining, and expert systems for time and frequency as well as time-frequency domains. …”
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Classification of Melanoma and Nevus in Digital Images for Diagnosis of Skin Cancer by Muhammad Qasim Khan, Ayyaz Hussain, Saeed Ur Rehman, Umair Khan, Muazzam Maqsood, Kashif Mehmood, Muazzam A. Khan

“…In this paper, we propose an intelligent system to detect and distinguish melanoma from nevus by using the state-of-the-art image processing techniques. At first, the Gaussian filter is used for removing noise from the skin lesion of the acquired images followed by the use of improved K-mean clustering to segment out the lesion. …”
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Applications of unmanned vehicle systems for multi-spatial scale monitoring and management of aquatic ecosystems: A review by Xingzhen Liu, Long Ho, Stijn Bruneel, Peter Goethals

“…Furthermore, object tracking, Digital Image Processing (DIP), Geographic Information System (GIS), and data management platforms enable efficient, multi-spatial scale monitoring and advanced research capabilities, offering the potential to enhance data collection and management of aquatic ecosystems.…”
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Vertebral Stenting and Vertebroplasty Guided by an Angiographic 3D Rotational Unit by Escobar-de la Garma Víctor Hugo, Jorge-Barroso Henry Luis, Padilla-Vázquez Felipe, Balderrama-Bañares Jorge Luis

“…Use of interventional imaging systems in minimally invasion procedures such as kyphoplasty and vertebroplasty gives the advantage of high-resolution images, various zoom levels, different working angles, and intraprocedure image processing such as three-dimensional reconstructions to minimize complication rate. …”
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Frequency Spectrum-Based Optimal Texture Window Size Selection for High Spatial Resolution Remote Sensing Image Analysis by Min Cao, Dongping Ming, Lu Xu, Ju Fang, Lin Liu, Xiao Ling, Weizhi Ma

“…Image texture is an important visual cue in image processing and analysis. Texture feature expression is an important task of geo-objects expression by using a high spatial resolution remote sensing image. …”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

“…Abstract This study uses machine learning (ML) to elucidate the contact relationship between the mandibular third molar (M3M) and the inferior alveolar canal (IAC), leading to three major contributions; (1) The first publicly accessible PR image dataset with semantic annotations for 1,478 IACs and M3Ms from 1,010 patients is introduced, which includes challenging cases, such as false positive contacts, with CBCT images as the gold standard, (2) Established radiological indicators for M3M-IAC contact were extracted as features using digital image processing, and these features were used as inputs for various ML methods. …”
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Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method by Hon Ming Yip, John C. S. Li, Kai Xie, Xin Cui, Agrim Prasad, Qiannan Gao, Chi Chiu Leung, Raymond H. W. Lam

“…We also develop image processing algorithms to recognize the chamber positions in real-time, followed by realigning the chambers to their preset positions in the captured images. …”
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Burning Rate Enhancement Analysis of End-Burning Solid Propellant Grains Based on X-Ray Real-Time Radiography by Wei Xianggeng, Bo Tao, Wang Pengbo, Ma Xinjian, Lou Yongchun, Chen Jian

“…From the real-time images of the burning surface, it is found that there was a phenomenon of nonuniform burning surface displacement in the end-burning grain solid rocket motor. Through image processing, the real-time burning rate of grain center line and the real-time cone angle are obtained. …”
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A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM by Anas Bilal, Ali Alkhathlan, Faris A. Kateb, Alishba Tahir, Muhammad Shafiq, Haixia Long

“…Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy. …”
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Survey on Lie Group Machine Learning by Mei Lu, Fanzhang Li

“…In addition, we introduce the special application of Lie group machine learning in image processing. This work covers the following techniques: Lie group machine learning model, Lie group subspace orbit generation learning, symplectic group learning, quantum group learning, Lie group fiber bundle learning, Lie group cover learning, Lie group deep structure learning, Lie group semisupervised learning, Lie group kernel learning, tensor learning, frame bundle connection learning, spectral estimation learning, Finsler geometric learning, homology boundary learning, category representation learning, and neuromorphic synergy learning. …”
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Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data Model by Stefan Klir, Julian Lerch, Simon Benkner, Tran Quoc Khanh

“…In summary, both algorithms are suitable for detection and localization purposes, although YOLOv5m has the advantage in real-time image processing capabilities, accompanied by a smaller model size and slightly higher precision.…”
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Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction by Rosanna Turrisi, Sarthak Pati, Giovanni Pioggia, Gennaro Tartarisco

“…This study explores Transfer Learning (TL) approaches to enhance AD diagnosis using a Baseline model consisting of a 3D-Convolutional Neural Network trained on 80 3T MRI scans.Two scenarios are explored: (A) utilizing historical data to address changes in MRI acquisitions (from 1.5T to 3T MRI), and (B) adapting 2D models pre-trained on ImageNet (ResNet18, ResNet50, ResNet101) for 3D image processing when historical data is unavailable. In both scenarios, two modeling approaches are tested. …”
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