Results 51 to 60 of about 6,892,691 (254)

Virtual alignment of pathology image series for multi-gigapixel whole slide images

Nature Communications, 2023
Interest in spatial omics is on the rise, but generation of highly multiplexed images remains challenging, due to cost, expertise, methodical constraints, and access to technology. An alternative approach is to register collections of whole slide images (
C. Gatenbee, A. Baker, Sandhya Prabhakaran, O. Swinyard, R. Slebos, G. Mandal, E. Mulholland, N. Andor, A. Marusyk, S. Leedham, J. Conejo-Garcia, Christine H Chung, M. Robertson-Tessi, T. Graham, Alexander R. A. Anderson   +14 more
semanticscholar   +1 more source

Image Stitching Based on Nonrigid Warping for Urban Scene

Sensors, 2020
Image stitching based on a global alignment model is widely used in computer vision. However, the resulting stitched image may look blurry or ghosted due to parallax.
Lixia Deng, Xiuxiao Yuan, Cailong Deng, Jun Chen, Yang Cai   +4 more
doaj   +1 more source

A scalable and modular automated pipeline for stitching of large electron microscopy datasets

eLife, 2022
Serial-section electron microscopy (ssEM) is the method of choice for studying macroscopic biological samples at extremely high resolution in three dimensions. In the nervous system, nanometer-scale images are necessary to reconstruct dense neural wiring
Gayathri Mahalingam, Russel Torres, Daniel Kapner, Eric T Trautman, Tim Fliss, Shamishtaa Seshamani, Eric Perlman, Rob Young, Samuel Kinn, JoAnn Buchanan, Marc M Takeno, Wenjing Yin, Daniel J Bumbarger, Ryder P Gwinn, Julie Nyhus, Ed Lein, Steven J Smith, R Clay Reid, Khaled A Khairy, Stephan Saalfeld, Forrest Collman, Nuno Macarico da Costa   +21 more
doaj   +1 more source

Improving Computer-Aided Thoracic Disease Diagnosis through Comparative Analysis Using Chest X-ray Images Taken at Different Times

Sensors
Medical professionals in thoracic medicine routinely analyze chest X-ray images, often comparing pairs of images taken at different times to detect lesions or anomalies in patients.
Sung-Nien Yu, Meng-Chin Chiu, Yu Ping Chang, Chi-Yen Liang, Wei Chen   +4 more
doaj   +1 more source

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation [PDF]

IEEE Transactions on Medical Imaging, 2020
Unsupervised domain adaptation has increasingly gained interest in medical image computing, aiming to tackle the performance degradation of deep neural networks when being deployed to unseen data with heterogeneous characteristics.
Cheng Chen, Q. Dou, Hao Chen, J. Qin, P. Heng   +4 more
semanticscholar   +1 more source

Self-Supervised Keypoint Learning for the Geometric Analysis of Road-Marking Templates

Algorithms
Robust visual perception and geometric alignment are crucial for intelligent automation in various domains, such as industrial processes and infrastructure monitoring. Accurately aligning structured visual elements, such as floor markings or road-marking
Chayanon Sub-r-pa, Rung-Ching Chen
doaj   +1 more source

ManiDec: Manifold Constrained Low-Rank and Sparse Decomposition

IEEE Access, 2019
Low-rank and sparse decomposition based image alignment has recently become an important research topic in the computer vision community. However, the reconstruction process often suffers from the perturbations caused by variations of the input samples ...
Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu, Wenhong Li   +6 more
doaj   +1 more source

A Practical Guide to Multi-Image Alignment [PDF]

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018
Multi - image alignment, bringing a group of images into common register, is an ubiquitous problem and the first step of many applications in a wide variety of domains. As a result, a great amount of effort is being invested in developing efficient multi-
C. Aguerrebere, M. Delbracio, A. Bartesaghi, G. Sapiro   +3 more
semanticscholar   +1 more source

ROFANet: Residual Offset-Driven Feature Alignment Network for Unaligned Remote Sensing Image Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
At present, most remote sensing change detection methods are applicable to bitemporal image alignment scenarios, that is, assuming that the pixel pairs of bitemporal images are spatially registered. Detection accuracy is highly sensitive to the alignment
Guoqing Wang, He Chen, Wenchao Liu, Tianyu Wei, Panzhe Gu, Jue Wang   +5 more
doaj   +1 more source

Field‐aligned Quadrangulation for Image Vectorization

Computer Graphics Forum, 2019
AbstractImage vectorization is an important yet challenging problem, especially when the input image has rich content. In this paper, we develop a novel method for automatically vectorizing natural images with feature‐aligned quad‐dominant meshes. Inspired by the quadrangulation methods in 3D geometry processing, we propose a new directional field ...
Wei, Guangshun, Zhou, Yuanfeng, Gao, Xifeng, Ma, Qian, Xin, Shiqing, He, Ying   +5 more
openaire   +2 more sources