Search Results - image processing methods

First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole by The Event Horizon Telescope Collaboration, Kazunori Akiyama, Antxon Alberdi, Walter Alef, Keiichi Asada, Rebecca Azulay, Anne-Kathrin Baczko, David Ball, Mislav Baloković, John Barrett, Dan Bintley, Lindy Blackburn, Wilfred Boland, Katherine L. Bouman, Geoffrey C. Bower, Michael Bremer, Christiaan D. Brinkerink, Roger Brissenden, Silke Britzen, Avery E. Broderick, Dominique Broguiere, Thomas Bronzwaer, Do-Young Byun, John E. Carlstrom, Andrew Chael, Chi-kwan Chan, Shami Chatterjee, Koushik Chatterjee, Ming-Tang Chen, Yongjun Chen, Ilje Cho, Pierre Christian, John E. Conway, James M. Cordes, Geoffrey B. Crew, Yuzhu Cui, Jordy Davelaar, Mariafelicia De Laurentis, Roger Deane, Jessica Dempsey, Gregory Desvignes, Jason Dexter, Sheperd S. Doeleman, Ralph P. Eatough, Heino Falcke, Vincent L. Fish, Ed Fomalont, Raquel Fraga-Encinas, William T. Freeman, Per Friberg, Christian M. Fromm, José L. Gómez, Peter Galison, Charles F. Gammie, Roberto García, Olivier Gentaz, Boris Georgiev, Ciriaco Goddi, Roman Gold, Minfeng Gu, Mark Gurwell, Kazuhiro Hada, Michael H. Hecht, Ronald Hesper, Luis C. Ho, Paul Ho, Mareki Honma, Chih-Wei L. Huang, Lei Huang, David H. Hughes, Shiro Ikeda, Makoto Inoue, Sara Issaoun, David J. James, Buell T. Jannuzi, Michael Janssen, Britton Jeter, Wu Jiang, Michael D. Johnson, Svetlana Jorstad, Taehyun Jung, Mansour Karami, Ramesh Karuppusamy, Tomohisa Kawashima, Garrett K. Keating, Mark Kettenis, Jae-Young Kim, Junhan Kim, Jongsoo Kim, Motoki Kino, Jun Yi Koay, Patrick M. Koch, Shoko Koyama, Michael Kramer, Carsten Kramer, Thomas P. Krichbaum, Cheng-Yu Kuo, Tod R. Lauer, Sang-Sung Lee, Yan-Rong Li, Zhiyuan Li, Michael Lindqvist, Kuo Liu, Elisabetta Liuzzo, Wen-Ping Lo, Andrei P. Lobanov, Laurent Loinard, Colin Lonsdale, Ru-Sen Lu, Nicholas R. MacDonald, Jirong Mao, Sera Markoff, Daniel P. Marrone, Alan P. Marscher, Iván Martí-Vidal, Satoki Matsushita, Lynn D. Matthews, Lia Medeiros, Karl M. Menten, Yosuke Mizuno, Izumi Mizuno, James M. Moran, Kotaro Moriyama, Monika Moscibrodzka, Cornelia Müller, Hiroshi Nagai, Neil M. Nagar, Masanori Nakamura, Ramesh Narayan, Gopal Narayanan, Iniyan Natarajan, Roberto Neri, Chunchong Ni, Aristeidis Noutsos, Hiroki Okino, Héctor Olivares, Tomoaki Oyama, Feryal Özel, Daniel C. M. Palumbo, Nimesh Patel, Ue-Li Pen, Dominic W. Pesce, Vincent Piétu, Richard Plambeck, Aleksandar PopStefanija, Oliver Porth, Ben Prather, Jorge A. Preciado-López, Dimitrios Psaltis, Hung-Yi Pu, Venkatessh Ramakrishnan, Ramprasad Rao, Mark G. Rawlings, Alexander W. Raymond, Luciano Rezzolla, Bart Ripperda, Freek Roelofs, Alan Rogers, Eduardo Ros, Mel Rose, Arash Roshanineshat, Helge Rottmann, Alan L. Roy, Chet Ruszczyk, Benjamin R. Ryan, Kazi L. J. Rygl, Salvador Sánchez, David Sánchez-Arguelles, Mahito Sasada, Tuomas Savolainen, F. Peter Schloerb, Karl-Friedrich Schuster, Lijing Shao, Zhiqiang Shen, Des Small, Bong Won Sohn, Jason SooHoo, Fumie Tazaki, Paul Tiede, Remo P. J. Tilanus, Michael Titus, Kenji Toma, Pablo Torne, Tyler Trent, Sascha Trippe, Shuichiro Tsuda, Ilse van Bemmel, Huib Jan van Langevelde, Daniel R. van Rossum, Jan Wagner, John Wardle, Jonathan Weintroub, Norbert Wex, Robert Wharton, Maciek Wielgus, George N. Wong, Qingwen Wu, André Young, Ken Young, Ziri Younsi, Feng Yuan, Ye-Fei Yuan, J. Anton Zensus, Guangyao Zhao, Shan-Shan Zhao, Ziyan Zhu, Joseph R. Farah, Zheng Meyer-Zhao, Daniel Michalik, Andrew Nadolski, Hiroaki Nishioka, Nicolas Pradel, Rurik A. Primiani, Kamal Souccar, Laura Vertatschitsch, Paul Yamaguchi

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Hyperspectral Signatures for Detecting the Concrete Hydration Process Using Neural Networks by Shiming Li, Alfred Strauss, Damjan Grba, Maximilian Granzner, Benjamin Täubling-Fruleux, Thomas Zimmermann

“…This paper introduces an innovative non-destructive method to detect the development of the hydration process under different treatment conditions. …”
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Time-resolved probing of laser-induced nanostructuring processes in liquids by Maximilian Spellauge, David Redka, Mianzhen Mo, Changyong Song, Heinz Paul Huber, Anton Plech

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Automated image acquisition system for visual inspection with positioning error correction by Toma TANIGUCHI, Hidenori NAKATSUJI, Isamu NISHIDA

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Synthesis of a Generalized Algorithm for Processing and Generating Data on Reflected Signals from Complex Targets by Xung Ha Vo, Trung Kien Nguyen, Phung Bao Nguyen, Quang Hieu Dang

“…The following methodological approaches were used: the theory of digital signal processing; applied theory of radar image processing; MATLAB Simulink Toolboxes for simulating radar image processing; some prerequisites for fuzzy clustering methods.Results. …”
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CLINICAL AND EXPERIMENTAL ARGUMENTATION OF MODIFIED METHOD FOR PERI-IMPLANT BONE REDUCTION EVALUATION DURING VARIOUS SCHEMES OF PROSTHETIC REHABILITATION by A.T. Kenyuk

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Texture Analysis of Mandibular Trabecular Bone in Correlation with Age and Gender Using Cone Beam CT Images: A Cross-Sectional Study by Asmaa Y. Tawfiq, Doaa A. Fouad, Hoda AE Saleh

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Experimental analysis of jet expansion geometry and the influence of pressure waves on the behavior of air discharge processes in subcooled stagnant water by D. Blanco, J.L. Muñoz-Cobo, C. Berna

“…Direct visualization techniques were employed using a high-speed camera to capture image sequences. Subsequently, image processing methods provided detailed information on the jet dynamics and the influence of pressure waves. …”
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Modeling Streamer Discharge in Air Using Implicit and Explicit Finite Difference Methods with Flux Correction by Hasupama Jayasinghe, Liliana Arevalo, Richard Morrow, Vernon Cooray

“…The total electrons, total charge, streamer position, and hence the streamer bridging time obtained using the FDMs with FCT agree with the same streamer computed in the literature using different numerical methods and dimensions. The electric field is obtained with good accuracy due to the inclusion of image charges representing the electrodes in the disc method. …”
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PHOTONIC METHODS FOR QUALITY EVALUATION OF SKIN ENGRAFTMENT by V. I. Makarov, E. V. Akhlyustina, D. S. Farrakhova, D. V. Pominova, A. V. Ryabova, V. B. Loschenov

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Rat Locomotion Analysis Based on Straight Line Detection in Hough Space by José Trinidad Guillen Bonilla, Héctor Guillen Bonilla, Nancy Elizabeth Franco Rodríguez, Mario Alberto García Ramírez, Alex Guillen Bonilla, Maricela Jiménez Rodríguez, María Eugenia Sánchez Morales

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Detection of Thrips Defect on Green-Peel Citrus Using Hyperspectral Imaging Technology Combining PCA and B-Spline Lighting Correction Method by Chun-wang DONG, Yang YE, Jian-qiang ZHANG, Hong-kai ZHU, Fei LIU

“…At first, four characteristic wavelengths (523, 587, 700 and 768 nm) were obtained using PCA of Vis-NIR (visible and near-infrared) bands and analysis of weighting coefficients; secondarily, PCA was performed using characteristic wavelengths and the second principal component (PC2) was selected to classify images; then, B-spline lighting correction method was proposed to overcome the influence of lighting non-uniform on citrus when thrips defect was segmented; finally, thrips defect on citrus was extracted by global threshold segmentation and morphological image processing. …”
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Une méthode d'analyse spatiale : l'association image modèle pour une approche de la « durabilité » du développement by Annie Cheneau-Loquay

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SHARD: an improved method for staining and visualizing multiplex immunofluorescence in optically cleared postmortem human brain tissue by Grace A. Rosen, Grace A. Rosen, Grace A. Rosen, Daniel Kirsch, Raymond Nicks, Hunter Kelley, Hunter Kelley, Hunter Kelley, Rebecca Mathias, Rebecca Mathias, Kerry A. Cormier, Kerry A. Cormier, Kerry A. Cormier, Kerry A. Cormier, Caroline A. Kubilus, Caroline A. Kubilus, Caroline A. Kubilus, Bryan Dec, Thor D. Stein, Thor D. Stein, Thor D. Stein, Thor D. Stein, Victor E. Alvarez, Victor E. Alvarez, Victor E. Alvarez, Victor E. Alvarez, Victor E. Alvarez, Michael L. Alosco, Michael L. Alosco, Michael L. Alosco, Michael L. Alosco, Ann C. McKee, Ann C. McKee, Ann C. McKee, Ann C. McKee, Ann C. McKee, Bertrand R. Huber, Bertrand R. Huber, Bertrand R. Huber, Bertrand R. Huber

“…Additionally, 3D imaging facilitates the visualization of whole-cell morphology, especially in cells with long processes that would otherwise be truncated in single-plane images. …”
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Gradient-Controlled Gaussian Kernel for Image Inpainting by Hossein Noori

“…Image inpainting is the process of filling in damaged or missing regions in an image by using information from known regions or known pixels of the image. …”
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Knee Osteoarthritis Detection and Classification Using Autoencoders and Extreme Learning Machines by Jarrar Amjad, Muhammad Zaheer Sajid, Ammar Amjad, Muhammad Fareed Hamid, Ayman Youssef, Muhammad Irfan Sharif

“…Methods: The proposed model differentiates between KOA-positive and KOA-negative images and categorizes the disease into its primary severity levels. …”
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Scene classification-assisted deep learning for crack detection in asphalt pavements by Hiromu Tanaka, Kazuma Shibano, Tetsuya Suzuki

“…To improve dataset quality and quantity, image processing techniques using L*a*b* color space are applied. …”
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Optimum Median Filter Based on Crow Optimization Algorithm by Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim al-Aqbi, Lamees abdalhasan Salman

“…Finally, the standard measure peak signal-to-noise ratio (PSNR), Structural Similarity, absolute square error and mean square error have been used to test the performance of suggested filters (original and improved median filter) used to removed noise from images. It achieves the simulation based on MATLAB R2019b and the results present that the improved median filter with crow optimization algorithm is more effective than the original median filter algorithm and some recently methods; they show that the suggested process is robust to reduce the error problem and remove noise because of a candidate of the median filter; the results will show by the minimized mean square error to equal or less than (1.38), absolute error to equal or less than (0.22) ,Structural Similarity (SSIM) to equal (0.9856) and getting PSNR more than (46 dB). …”
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Optimizing an image analysis protocol for ocean particles in focused shadowgraph imaging systems by Huanqing Huang, Alexander B. Bochdansky

“…However, much less consideration has been given to the accurate reconstruction of imaging data. To improve reconstruction of particles captured by Focused Shadowgraph Imaging (FoSI)—a system that excels at visualizing low-optical-density objects, we developed a novel object detection algorithm to process images with a resolution of ~ 12 μm per pixel. …”
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Deep Learning-Based Detection of Honey Storage Areas in <i>Apis mellifera</i> Colonies for Predicting Physical Parameters of Honey via Linear Regression by Watit Khokthong, Panpakorn Kritangkoon, Chainarong Sinpoo, Phuwasit Takioawong, Patcharin Phokasem, Terd Disayathanoowat

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