Search Results - image processing methods

THE STUDY OF THE BRAIN IN A PATIENT WITH TYPE 1 DIABETES MELLITUS USING TECHNIQUES OF MAGNETIC RESONANCE IMAGING by Yu. G. Samoylova, N. G. Zhukova, M. V. Matveyeva, M. A. Rotkank, O. S. Tonkikh

“…The diagnosis of these disorders to date, possible by using modern methods of magnetic resonance imaging, which describe not only the morphological changes of the brain, but also the metabolism of nervous tissue. …”
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Multi-Channel Coupled Variational Bayesian Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets by Xin Wang, Jing Yang, Yong Luo

“…The method jointly models temporal correlations and inter-channel structure, introducing a coupled processing strategy to reduce dimensionality and computational complexity. …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…Previous research focused on street-view panoramas is emerging as a new information source for urban studies due to the rapid advancements in image processing technology. However, challenges such as accuracy, feature extraction, uncertainty management, and a lack of approach integration remain unresolved. …”
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Experimenting with learning-based image orientation approaches for photogrammetric mapping of <em>Posidonia oceanica</em> meadows by F. Menna, A. Calantropio, A. Pansini, G. Ceccherelli, E. Nocerino

“…Moreover we verified that, in such a complex scenario, it is crucial to adjust processing thresholds at the different stages of SfM (from matching to bundle adjustment) and take manual intervention measures to improve image orientation.…”
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Unmanned Aerial Vehicles (UAVs) in urban land regularization process. Opportunities and challenges by Freeman Ali

“…The approach involved image acquisition for an area of 0.75km2 and processing to generate orthomosaic to aid in the regularization process. …”
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Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling by Sanyi YUAN, Yanwu XU, Renjun XIE, Shuai CHEN, Junliang YUAN

“…This study investigates high-resolution seismic data processing technologies and methods tailored for drilling scenarios. …”
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Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation by Doanh C. Bui, Hoai Luan Pham, Vu Trung Duong Le, Tuan Hai Vu, Van Duy Tran, Khang Nguyen, Yasuhiko Nakashima

“…In this study, we introduce ADaFGrad, a method designed to enhance lifelong learning for whole-slide image (WSI) analysis. …”
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Reproducibility of Breech Progression Angle: Standardization of Transperineal Measurements and Development of Image-Based Checklist for Quality Control by Ana M. Fidalgo, Adriana Aquise, Francisca S. Molina, Aly Youssef, Otilia González-Vanegas, Elena Brunelli, Ilaria Cataneo, Maria Segata, Marcos J. Cuerva, Valeria Rolle, Maria M. Gil

“…<b>Objectives:</b> To evaluate the reproducibility of measurements of breech progression angle (BPA) by transperineal ultrasound (US) before and after its standardization by applying an image-based checklist. <b>Methods:</b> Eighteen 3-dimensional (3D) volumes of transperineal US from women at 36–40 weeks of gestation with a singleton fetus in breech presentation were provided to eight operators from four maternity units in Spain and Italy. …”
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Radiographic Evidence of Immature Bone Architecture After Sinus Grafting: A Multidimensional Image Analysis Approach by Ibrahim Burak Yuksel, Fatma Altiparmak, Gokhan Gurses, Ahmet Akti, Merve Alic, Selin Tuna

“…Four standardized regions of interest representing grafted sinus floors and adjacent tuberosity regions were analyzed. Image processing and quantitative analyses were performed to extract fractal dimension (FD), first-order statistics (FOS), and gray-level co-occurrence matrix (GLCM) features (contrast, homogeneity, energy, correlation). …”
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A Hybrid Multi-Strategy Optimization Metaheuristic Algorithm for Multi-Level Thresholding Color Image Segmentation by Amir Seyyedabbasi

“…As a real-world application, multi-level thresholding for color image segmentation—a well-known problem in image processing—is studied. …”
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Restoration of Degraded Images Using Pupil-Size Diversity Technology With Stochastic Parallel Gradient Descent Algorithm by Zongliang Xie, Haotong Ma, Bo Qi, Ge Ren, Yufeng Tan, Bi He, Hengliang Zeng, Chuan Jiang

“…Then, based on the nonlinear optimization method, a high-quality image eliminating distortions can be reconstructed by processing the multiple diversity images with the stochastic parallel gradient descent algorithm. …”
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On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning by Marius Sorin Pavel, Simona Moldovanu, Dorel Aiordachioaie

“…An augmentation process was applied to the initial raw images that led to the development of the two databases with added noise, as well as the subsequent augmentation of all images, i.e., rotation, reflection, translation and scaling. (2) Methods: The multiclass classification process was implemented through two subsets of methods, i.e., machine learning with random forest (RF), support vector machines (SVM) and k-nearest neighbor (KNN) algorithms and deep learning with the convolutional neural network (CNN) algorithm. (3) Results: The results obtained in this paper with the two subsets of methods belonging to the field of artificial intelligence (AI), together with the two categories of facial thermal images with added noise used as input, were very good, showing a classification accuracy of over 99% for the two categories of images, and the three corresponding classes for each. (4) Discussion: The augmented databases and the additional configurations of the implemented algorithms seems to have had a positive effect on the final classification results.…”
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Fine-Grained Style Alignment and Class Balance for Unsupervised Domain Adaptation in Remote Sensing Image Segmentation by Yousheng Xu, Weiji Wang, Wei Yao, Shengzhou Xu

“…Unsupervised domain adaptation (UDA) is an effective method for addressing the domain shift issue between the source and target domains in high-resolution remote sensing images classification. …”
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FDIE: a graph-based framework for extracting design information from annotated building facade images by Yuexia Hu, Junjie Wei, Si Zhang, Shuyu Liu

“…In recent years, numerous studies have explored the automatic recognition and annotation of basic elements (e.g. windows) in these images. However, most application of the recognized elements remains at the pixel level, such as 3D reconstruction, and the design information hidden behind the elements cannot be processed using common data analysis methods because the annotations are still unstructured data. …”
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Contrastive Learning-Based Hyperspectral Image Target Detection Using a Gated Dual-Path Network by Jiake Wu, Rong Liu, Nan Wang

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Non-destructive detection of spotted wing Drosophila infestation in blueberry fruit using hyperspectral imaging technology by Xinyang Mu, Yuzhen Lu

“…Spotted Wing Drosophila (SWD) infestation in blueberries presents a significant threat to blueberry industries due to yield loss and quality safety issues during the postharvest process, where infested fruit is zero-tolerated. Current detection methods require destructive sampling, which is time-consuming and labor-intensive. …”
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LGFUNet: A Water Extraction Network in SAR Images Based on Multiscale Local Features with Global Information by Xiaowei Bai, Yonghong Zhang, Jujie Wei

“…To address existing issues in water extraction from SAR images based on deep learning, such as confusion between mountain shadows and water bodies and difficulty in extracting complex boundary details for continuous water bodies, the LGFUNet model is proposed. …”
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Using a 3D Chaotic Dynamic System as a Random Key Generator for Image Steganography by Mohammed Abod Husain, Saad Al-Momen

“…Steganography is one of the methods used for this purpose by hiding sensitive data within other files. …”
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Data-driven structural damage monitoring and assessment based on unmanned aerial vehicle images: a survey by Zhuoyue Yang, Yuxin Xu, Hao Song, Kang Yu

“…Image-based assessment methods face challenges, including difficulty in extracting image features, multiple constraints on data acquisition, and difficulties in integrating evaluation results. …”
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Whole-body diffusion-weighted magnetic resonance imaging by estimating the measurable diffusion coefficient in Hodgkin lymphoma by A. I. Mikhaylov, V. O. Panov, I. E. Tyurin

“…Objective: to determine whether the measurable diffusion coefficient (MIC) may be used to differentiate normal and lymphomatosisaltered lymph nodes (LNs) in patients with Hodgkin lymphoma (HL).Material and methods. Whole-body magnetic resonance (MR) imaging was used to compare the MICs of LNs in 27 apparently healthy  individuals and 41 patients with a verified diagnosis of HL.Results. …”
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