Results 1 to 10 of about 12,060,028 (242)

Robust Multimodal Remote Sensing Image Registration Based on Local Statistical Frequency Information

Remote Sensing, 2022
Multimodal remote sensing image registration is a prerequisite for comprehensive application of remote sensing image data. However, inconsistent imaging environment and conditions often lead to obvious geometric deformations and significant contrast ...
Xiangzeng Liu, Jiepeng Xue, Xueling Xu, Zixiang Lu, Ruyi Liu, Bocheng Zhao, Yunan Li, Qiguang Miao   +7 more
doaj   +4 more sources

Modality-Free Feature Detector and Descriptor for Multimodal Remote Sensing Image Registration

Remote Sensing, 2020
The nonlinear radiation distortions (NRD) among multimodal remote sensing images bring enormous challenges to image registration. The traditional feature-based registration methods commonly use the image intensity or gradient information to detect and ...
Song Cui, Miaozhong Xu, Ailong Ma, Yanfei Zhong   +3 more
doaj   +4 more sources

Is image-to-image translation the panacea for multimodal image registration? A comparative study [PDF]

PLoS ONE, 2022
Despite current advancement in the field of biomedical image processing, propelled by the deep learning revolution, multimodal image registration, due to its several challenges, is still often performed manually by specialists.
Jiahao Lu, Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje   +3 more
doaj   +3 more sources

Multimodal Registration for Image-Guided EBUS Bronchoscopy

Journal of Imaging, 2022
The state-of-the-art procedure for examining the lymph nodes in a lung cancer patient involves using an endobronchial ultrasound (EBUS) bronchoscope.
Xiaonan Zang, Wennan Zhao, Jennifer Toth, Rebecca Bascom, William Higgins   +4 more
doaj   +3 more sources

Distance-Dependent Multimodal Image Registration for Agriculture Tasks [PDF]

Sensors, 2015
Image registration is the process of aligning two or more images of the same scene taken at different times; from different viewpoints; and/or by different sensors.
Ron Berenstein, Marko Hočevar, Tone Godeša, Yael Edan, Ohad Ben-Shahar   +4 more
doaj   +2 more sources

Multimodal Image Registration Through Simultaneous Segmentation [PDF]

IEEE Signal Processing Letters, 2017
Bruce Fischl, Iman Aganj
exaly   +2 more sources

Joint Registration and Segmentation Method of CT-MR Images Based on Deep Learning [PDF]

Jisuanji gongcheng, 2023
Medical image registration and segmentation are important tasks in medical image analysis.The accuracy of the tasks can be improved effectively by their combination.However, the existing joint registration and segmentation framework of single-modal ...
Ben HONG, Xusheng QIAN, Minglei SHEN, Jisu HU, Chen GENG, Yakang DAI, Zhiyong ZHOU
doaj   +1 more source

macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

BioMedical Engineering OnLine, 2023
Deformable multimodal image registration plays a key role in medical image analysis. It remains a challenge to find accurate dense correspondences between multimodal images due to the significant intensity distortion and the large deformation. macJNet is
Zhiyong Zhou, Ben Hong, Xusheng Qian, Jisu Hu, Minglei Shen, Jiansong Ji, Yakang Dai   +6 more
doaj   +1 more source

DTR-GAN: An Unsupervised Bidirectional Translation Generative Adversarial Network for MRI-CT Registration

Applied Sciences, 2023
Medical image registration is a fundamental and indispensable element in medical image analysis, which can establish spatial consistency among corresponding anatomical structures across various medical images.
Aolin Yang, Tiejun Yang, Xiang Zhao, Xin Zhang, Yanghui Yan, Chunxia Jiao   +5 more
doaj   +1 more source

BRIFT: A Binary Descriptor for Multi-Modal Image Registration [PDF]

Hangkong bingqi, 2023
Using radiation-variation insensitivity feature transform (RIFT) to calculate feature descriptors and perform feature matching on the maximum index map (MIM) is time-consuming.
Xu Kaikai, Guo Pengcheng, Wang Jingjing
doaj   +1 more source