Automatic Detection of Sports Injuries Based on Multimedia Intelligent 3D Images by Chunmei Liu, Longhui Cao

“…In the investigation of the parts of students’ sports injuries, it was concluded that the injury rate of the students’ ankle joints was the highest; in the investigation of the types of sports injuries among students, it was concluded that students were more likely to suffer from joint sprains; in the project investigation of students’ sports injuries, it was concluded that students were more prone to sports injuries in ball games with a large amount of exercise; in the investigation of the causes of students’ sports injuries, it was concluded that the main reasons for students’ sports injuries were physical insufficiency and a bad venue environment; in terms of the performance evaluation of the sports injury detection system, it was concluded that the accuracy, effectiveness, authenticity, and efficiency of the sports injury automatic detection system based on multimedia intelligent three-dimensional image processing technology had been improved to different degrees compared with the traditional sports injury detection methods. …”
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Fragmentation Pattern and Removal Mechanism of Concrete Subjected to Abrasive Water Jet Impact by Jialiang Liu, Yujie Zhu, Yongzhi Xue, Hao Sun

“…Based on computed tomography (CT), scanning electron microscopy (SEM), and image processing technology, this paper studied the fragmentation pattern and removal mechanism of concrete under AWJ impact. …”
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Unveiling the Complexity of Medical Imaging through Deep Learning Approaches by Javaid Iqbal Bhat, Novsheena Rasool

“…Moreover, an exhaustive exploration encompasses deep learning classification approaches, procedural aspects of medical image processing, as well as a thorough examination of key features and characteristics. …”
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Porous Blasting Morphology and Resistivity Response Characteristics of Soft Coal Seam by Wenwang Yang, Sanlin He, Taotao Zhao, Chenying Ge

“…The fracturing characteristics of multi-holes blasting in soft coal seam were analyzed quantitatively by using the multi-holes model blasting experiment of soft coal seam and digital image processing (DIP) and electrical resistivity tomography (ERT) techniques, and the electrical resistivity response rules before and after blasting were obtained. …”
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A Laboratory Investigation into the Effects of Coarse Aggregate Angularity on Performance of WMA by Jie Ji, Peng Zhai, Wenhua Zheng, Zhi Suo, Ying Xu

“…Five different CAAs were fabricated using Los Angeles abrasion test, and the digital image processing method was used to identify the CAA. Five mixes with different combinations of CAA and Sasobit-modified asphalt binder were prepared according to the Marshall mix design procedure. …”
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Diegif: An efficient and secured DICOM to EGIF conversion framework for confidentiality in machine learning training by Abdullah Al Siam, Md Maruf Hassan, Md Atikur Rahaman, Masuk Abdullah

“…This paper illustrates the framework’s potential to medical image processing, secure storage, and AI-driven diagnostic functions in healthcare.…”
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LCFF-Net: A lightweight cross-scale feature fusion network for tiny target detection in UAV aerial imagery. by Daoze Tang, Shuyun Tang, Zhipeng Fan

“…In the field of UAV aerial image processing, ensuring accurate detection of tiny targets is essential. …”
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The evolution of green spaces within institutional plots in Yeka Sub-City, Addis Ababa, Ethiopia by Utant Debebe, Utant Debebe, Alazar Assefa

“…This study employed Google Earth imagery and Exploratory Spatial Data Analysis (ESDA) to investigate the changes in urban green coverage within institutional plots in Yeka Sub-City, Addis Ababa, over a twenty-year period from 2003 to 2023. Subsequent image processing and analyses were conducted using GIS and ERDAS Imagine software. …”
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Study on Void Structure Reconstruction of Asphalt Mixture by X-Ray Computed Tomography and Otsu’s Method by Jiantong Zhang, Jun Yang, Tiejun Liu, Rongxing Cai, Rui Yang

“…The air void distributions of obtained CT images were analyzed using ring blocking segmentation combining Otsu’s method, which provided an accurate estimate of air voids in asphalt mixtures. The image processing results showed that air void distribution was not uniform in the specimens; higher air void concentrations were found at the top and bottom of the specimen, and lower, in the rest of the sample depth. …”
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Exploring the role of cultural values, trust and empathy on satisfaction: Research on hotel customers by Aybike Tuba Özden, Olcay Özışık Yapıcı, Mehdi Korjani

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Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review by Athanasios Kallipolitis, Konstantinos Moutselos, Argyriοs Zafeiriou, Stelios Andreadis, Anastasia Matonaki, Thanos G. Stavropoulos, Ilias Maglogiannis

“…The review examines deep learning architectures and image processing algorithms for segmentation, feature extraction, and classification tasks employed for disease detection. …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…The main aim of our work was to develop an efficient scheme of automatic counting cell nuclei based on advanced image processing methods: directional filtering, adaptive image binarization and mathematical morphology. …”
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Adaptive Multiclient Network-on-Chip Memory Core: Hardware Architecture, Software Abstraction Layer, and Application Exploration by Diana Göhringer, Lukas Meder, Stephan Werner, Oliver Oey, Jürgen Becker, Michael Hübner

“…Finally, the advantages of the novel memory core in terms of performance, flexibility, and user friendliness are shown using a real-world image processing application.…”
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Using the phantom 4 RTK drone for photogrammetry to create topographic plan of road by El Atiq Jaouad, El Harti Abderrazak

“…This was followed by manual intervention to increase the accuracy of the desired output. Image processing and classification helped to build a Digital Terrain Model with an altimetric RMSE of 5 cm - just 3 cm for planimetric error. …”
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Multiobjective Optimization for Reconfigurable Implementation of Medical Image Registration by Omkar Dandekar, William Plishker, Shuvra S. Bhattacharyya, Raj Shekhar

“…We present a novel multiobjective wordlength optimization strategy developed through FPGA-based implementation of a representative computationally intensive image processing application: medical image registration. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…Furthermore, transformer-based models have been utilized to tackle medical image processing problems by capitalizing on global connections among distant pixels in the images. …”
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Theoretical Design and First Test in Laboratory of a Composite Visual Servo-Based Target Spray Robotic System by Dongjie Zhao, Ying Zhao, Xuelei Wang, Bin Zhang

“…Scene camera was used to roughly locate target crop, and then the image-processing methods for background segmentation, crop canopy centroid extraction, and 3D positioning were studied. …”
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Geometric phase analysis of magnetic skyrmion lattices in Lorentz transmission electron microscopy images by Thibaud Denneulin, András Kovács, Raluca Boltje, Nikolai S. Kiselev, Rafal E. Dunin-Borkowski

“…Geometric phase analysis (GPA) is a Fourier-based image processing method that is used to measure deformation fields in high resolution transmission electron microscopy (TEM) images of crystalline materials. …”
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The Imaging Diagnosis of Patients with Shoulder Pain Caused by Sports Injury by Xiaoqi Dong, Lu Wang

“…This article deeply studied the clinical manifestations of shoulder joint pain and image processing technology, designed a research experiment on imaging diagnosis results of patients with shoulder joint pain caused by sports injuries, selected 87 patients with shoulder joint pain in a hospital, and analyzed X-ray photography, CT imaging, and MR imaging diagnosis, three methods to compare the diagnostic accuracy and inspection results and conduct an in-depth analysis of the causes of shoulder joint injury. …”
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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…The integration of DL with aerial inspection technologies and advance- ments in image processing holds promise for further enhancing the reliability and efficiency of solar energy systems.…”
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