Search Results - Image Processing and Computer Vision Computer Imaging

From image processing to computer vision: plant imaging grows up by Dee, Hannah, French, Andrew

“…, and look at examples of different kinds of image processing and computer vision, which is occurring…”
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Ultraviolet Radiation Transmission in Building’s Fenestration: Part II, Exploring Digital Imaging, UV Photography, Image Processing, and Computer Vision Techniques by Onatayo, Damilola Adeniyi, Srinivasan, Ravi Shankar, Shah, Bipin

“… This study, which is Part II, provides an in-depth exploration of the concepts and methodologies underlying UV bandpass-filtered imaging, advanced image processing techniques, and the mechanisms…”
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CemrgApp: An interactive medical imaging application with image processing, computer vision, and machine learning toolkits for cardiovascular research by Razeghi, Orod, Solís-Lemus, José Alonso, Lee, Angela W.C., Karim, Rashed, Corrado, Cesare, Roney, Caroline H., de Vecchi, Adelaide, Niederer, Steven A.

“…-after. We developed the Cardiac Electro-Mechanics Research Group Application (CemrgApp) as a platform with custom image processing and computer vision toolkits for applying…”
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Medical Imaging Systems Image Processing, Computer Vision, Pattern Recognition, and Graphics: An Introductory Guide by Maier, Andreas, Steidl, Stefan, Christlein, Vincent, Hornegger, Joachim

“… The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter…”
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Reducing Plenoptic Camera Artifacts by Georgiev, T., Lumsdaine, A.

“…‐angular tradeoffs available with this approach enable rendering of final images that have significantly higher resolution than those from traditional plenoptic cameras…”
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Combinatorial preconditioners and multilevel solvers for problems in computer vision and image processing: Special issue on Optimization for Vision, Graphics and Medical Imaging: Theory and Applications by KOUTIS, Ioannis, MILLER, Gary L, TOLLIVER, David

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Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems by Chun, Il Yong, Huang, Zhengyu, Lim, Hongki, Fessler, Jeffrey A.

“…Iterative neural networks (INN) are rapidly gaining attention for solving inverse problems in imaging, image processing, and computer vision…”
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Handbook of convex optimization methods in imaging science by Monga, Vishal

“…This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization with the goal…”
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Battle royale optimizer for multilevel image thresholding by Akan, Taymaz, Oliva, Diego, Feizi-Derakhshi, Ali-Reza, Feizi-Derakhshi, Amir-Reza, Pérez-Cisneros, Marco, Bhuiyan, Mohammad Alfrad Nobel

“…Image segmentation, the process of partitioning an image into meaningful regions, is a fundamental step in image processing, crucial for applications like computer vision, medical imaging, and object recognition…”
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2-D and 3-D image registration: for medical, remote sensing, and industrial applications by Goshtasby, A. Ardeshir

“…To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration…”
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A recent survey on the applications of genetic programming in image processing by Khan, Asifullah, Qureshi, Aqsa Saeed, Wahab, Noorul, Hussain, Mutawarra, Hamza, Muhammad Yousaf

“… Image processing is mainly involved in applications such as computer vision, pattern recognition, image compression, storage, and medical diagnostics…”
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Leveraging uncertainty information from deep neural networks for disease detection by Leibig, Christian, Allken, Vaneeda, Ayhan, Murat Seçkin, Berens, Philipp, Wahl, Siegfried

“…Deep learning (DL) has revolutionized the field of computer vision and image processing…”
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Auto-calibration of multi-projector displays with a single handheld camera by Sanghun Park, Hyunggoog Seo, Seunghoon Cha, Junyong Noh

“…We present a novel approach that utilizes a simple handheld camera to automatically calibrate multi-projector displays. Most existing studies adopt active…”
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On the Applications of Robust PCA in Image and Video Processing by Bouwmans, Thierry, Javed, Sajid, Zhang, Hongyang, Lin, Zhouchen, Otazo, Ricardo

“…Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse matrices offers a powerful framework for a large variety of applications such as image processing, video processing, and 3-D computer vision…”
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Deep Learning for HDR Imaging: State-of-the-Art and Future Trends by Wang, Lin, Yoon, Kuk-Jin

“…High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range of exposures, which is important in image processing, computer graphics, and computer vision…”
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State-of-art technologies, challenges, and emerging trends of computer vision in dental images by Priya, J., Raja, S. Kanaga Suba, Kiruthika, S. Usha

“…Computer vision falls under the broad umbrella of artificial intelligence that mimics human vision and plays a vital role in dental imaging…”
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Co-Net: A Collaborative Region-Contour-Driven Network for Fine-to-Finer Medical Image Segmentation by Liu, Anran, Huang, Xiangsheng, Li, Tong, Ma, Pengcheng

“…In this paper, a fine-to-finer segmentation task is investigated driven by region and contour features collaboratively on Glomerular Electron-Dense Deposits…”
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Multi-resolution convolutional neural networks for inverse problems by Wang, Feng, Eljarrat, Alberto, Müller, Johannes, Henninen, Trond R., Erni, Rolf, Koch, Christoph T.

“…Inverse problems in image processing, phase imaging, and computer vision often share the same structure of mapping input image(s) to output image…”
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A Pixel Shift Estimation Approach Using Spectral Information by Koukiou, Georgia

“… Image registration is a fundamental task in computer vision and image processing, with applications ranging from medical imaging to motion tracking in surveillance systems…”
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Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural Networks by Iranfar, Arman, Zapater, Marina, Atienza, David

“…Nowadays, deep convolutional neural networks (DCNNs) play a significant role in many application domains, such as computer vision, medical imaging, and image processing…”
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