Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions by Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins

“…The visual fidelity of virtual reality (VR) and augmented reality (AR) environments is essential for user immersion and comfort. …”
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TeaNet8: A real time Android application-based Tea Leaf Disease detection using fine-tuned transfer learning and Gradient-Weighted Class Activation Mapping visualization by Ismotara Dipty, Md Assaduzzaman, Nafiz Fahad, Md. Jakir Hossen, Md. Farhatul Haider, Fiaj Rahman

“…Preprocessing techniques such as Contrast Limited Adaptive Histogram Equalization (CLAHE), brightness adjustment, and unsharp masking were applied to enhance the dataset. …”
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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…As the name indicates, the proposed DestaVNet model exploits visual and acoustic features to perform violence detection. …”
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Medical image retrieval using ROI extraction and hybrid bag-of-features model by Sneha Kugunavar, C. J. Prabhakar

“…The approach integrates Bag-of-Visual-Words (BoVW) with shape and texture descriptors to enhance feature richness. …”
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Research on coal mine robot positioning algorithm based on integration of ORB-SLAM3 vision and inertial navigation by Wei CHEN, Shuaida WU, Zijian TIAN, Fan ZHANG, Yi LIU

“…On the basis of the front-end feature point extraction (ORB) algorithm, histogram equalization, non-maximum suppression, adaptive threshold method and feature point homogenization based on quadtree strategy are introduced. …”
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A Comparative Study of Image Processing and Machine Learning Methods for Classification of Rail Welding Defects by Mohale Emmanuel Molefe, Jules Raymond Tapamo, Siboniso Sithembiso Vilakazi

“…Therefore, this work proposes a method based on image processing and machine learning techniques for the automated investigation of defects. Histogram Equalization methods are first applied to improve image quality. …”
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Enabling clinical use of linear energy transfer in proton therapy for head and neck cancer – A review of implications for treatment planning and adverse events study by Chen Jingyuan, Yang Yunze, Feng Hongying, Liu Chenbin, Zhang Lian, Holmes Jason M., Liu Zhengliang, Lin Haibo, Liu Tianming, Simone Charles B., Lee Nancy Y., Frank Steven J., Ma Daniel J., Patel Samir H., Liu Wei

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Spectral Pattern Classification in Lidar Data for Rock Identification in Outcrops by Leonardo Campos Inocencio, Mauricio Roberto Veronez, Francisco Manoel Wohnrath Tognoli, Marcelo Kehl de Souza, Reginaldo Macedônio da Silva, Luiz Gonzaga Jr, César Leonardo Blum Silveira

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Real-Time Multichannel Imaging Framework for Endoscopy, Catheters, and Fixed Geometry Intraoperative Systems by Rahul A. Sheth, Rabi Upadhyay, Ralph Weissleder, Umar Mahmood

“…The capabilities include acquisition and visualization algorithms that perform registration, segmentation, and histogram-based autoexposure of two imaging channels (full-spectrum white light and near-infrared fluorescence), all in real time. …”
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Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis by Dongil Kim, Jeongin Koo, Hyein Kim, Seokho Kang, Sang Hyun Lee, Jeong Tae Kang

“…The analytical results are provided to the user with a list that includes the fault causes and a corresponding density histogram for visualization. Real-world surface mount technology data were employed for a case study, in which raw data were preprocessed into an integrated data set consisting of 14,847 rows and 12,929 columns. …”
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Turbofan engine health status prediction with artificial neural network by Slawomir Szrama, Tomasz Lodygowski

“…The final results are analyzed using visualization plots such as regression fit plot and histogram of errors. …”
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Radiogenomic approach to glial tumors imaging under conditions of initial diagnostic measures: adaptation principles development by N. E. Maslov, G. E. Trufanov, V. M. Moiseenko, D. A. Valenkova, A. Yu. Efimtsev, N. A. Plakhotina, A. S. Sidorina

“…Radiomics is a rapidly developing field in oncology visualization aimed at searching for prognostically effective imaging features associated with specific genetic events that determine various characteristics of the disease course. …”
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A hybrid fusion of wireless signals and RGB image for indoor positioning by Jichao Jiao, Fei Li, Weihua Tang, Zhongliang Deng, Jichang Cao

“…Moreover, the term “uniform” are fundamental properties of local image textures and their occurrence histogram is proven to be a very powerful texture feature. …”
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Image processing for microprocessors TIM voids detection by Ting Ying Jiang, Mei-Hui Song, Zi-Ying Oh, Tong Liu

“…It then calculates the void occupancy percentage for each die area.The Niblack algorithm is employed in our void detection software. Histogram curve analysis is applied to automatically determine the threshold for the Niblack algorithm's test value, with manual adjustments available for fine-tuning. …”
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Vectors of Transformation of Civil Activity of Russian Youth in the First Third of the 21st Century by Kirill Makarenko

“…Specific research methods are statistical analysis of posts in Telegram, visualization by constructing a boxplot, and a histogram of the distribution of reactions to posts. …”
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RecNet: Reinforcement Common Feature Mapping Network for Fast Template Matching in Visible-LWIR Images by Donyung Kim, Seungeon Lee, Inho Park, Geonjong Kim, Sungho Kim

“…Experiments on KAIST Pedestrian, Log-Gabor Histogram Descriptor(LGHD), and Road Scene datasets demonstrate RecNet’s superior performance and real-time capabilities compared to state-of-the-art methods. …”
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How can spinous process splitting approach in lumbar spine surgery preserve the para-spinal muscles? Quantitative pre- and post-operative Dixon MRI assessment by Ahmad Fouad Abdel-Baki Allam, Mohammad Fouad Abdel-Baki Allam, Sara Mahmoud Ragaee, Sherif Ahmed El-Refai, Mohamed Aboul-fotouh Elsayed Mourad, Khaled Omran

“…The quantitative histogram analysis of fat-only Dixon MR images showed minimal statistically insignificant postoperative decrease in volume and minimal statistically insignificant postoperative increase in histogram skewness values which represent signal alteration of the muscle fibers. …”
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ANALYSIS OF SURFACE DEFECTS OF ALUMINUM AND ITS ALLOYS WITH A SCANNING KELVIN PROBE by A. K. Tyavlovsky, A. L. Zharin, O. K. Gusev, R. I. Varabei, N. I. Muhurov, G. V. Sharonov, K. U. Pantsialeyeu

“…The presence of the second mode in the CPD distribution histogram indicates the significant proportion of defect areas on the sample surface.Analysis of visualized CPD distribution maps using defined criteria allows detecting and characterizing such defects as residual stress areas, areas with reduced microhardness, surface contamination spots, corrosion defects. …”
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DAGAN-Based Gait Features Augmentation for Ankle Instability Detection by Xin Liu, Yao Zhang, Yuwei Jiao, Bin Zheng, Qinwei Guo, Yuanyuan Yu, Aziguli Wulamu

“…The results show that the accuracy of the ConvLSTM model after data enhancement improves by 2.4%, and the accuracy of the TCN model after data enhancement improves by 7.47%. Through the visualization of Pearson correlation coefficient, histogram, and scatter plot, it is proved that Attention-DualGAN produces high-quality gait kinematics characteristics. …”
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Estimation of Missing DICOM Windowing Parameters in High-Dynamic-Range Radiographs Using Deep Learning by Mateja Napravnik, Natali Bakotić, Franko Hržić, Damir Miletić, Ivan Štajduhar

“…This study evaluates traditional histogram-based methods and explores the potential of deep learning for predicting window parameters in radiographs where such information is missing. …”
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