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Image Registration

Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.

Source: Image registration | Wikipedia

( Image credit: Kornia )

Papers

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Showing 926–950 of 953 papers

TitleStatusHype
Evaluation of Scan-Line Optimization for 3D Medical Image Registration—0
CID: Combined Image Denoising in Spatial and Frequency Domains Using Web Images—0
A Review of Image Mosaicing Techniques—0
Cognitive-mapping and contextual pyramid based Digital Elevation Model Registration and its effective storage using fractal based compression—0
RANCOR: Non-Linear Image Registration with Total Variation Regularization—0
Automatic Image Registration in Infrared-Visible Videos using Polygon Vertices—0
A Novel Histogram Based Robust Image Registration Technique—0
An evolutionary computational based approach towards automatic image registration—0
An Optimization Method For Slice Interpolation Of Medical Images—0
A Study of Image Analysis with Tangent Distance—0
Multimodal Optimization by Sparkling Squid Populations—0
BW - Eye Ophthalmologic decision support system based on clinical workflow and data mining techniques-image registration algorithm—0
Correcting Multi-focus Images via Simple Standard Deviation for Image Fusion—0
Local image registration a comparison for bilateral registration mammography—0
Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis—0
Symmetries in LDDMM with higher order momentum distributions—0
Groupwise Registration via Graph Shrinkage on the Image Manifold—0
Registration of Images with Outliers Using Joint Saliency Map—0
An investigation towards wavelet based optimization of automatic image registration techniques—0
Scale Selection of Adaptive Kernel Regression by Joint Saliency Map for Nonrigid Image Registration—0
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images—0
Analysis of Descent-Based Image Registration—0
Local Structure Matching Driven by Joint-Saliency-Structure Adaptive Kernel Regression—0
Image registration with sparse approximations in parametric dictionaries—0
Deformable medical image registration: setting the state of the art with discrete methodsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RAN4+DSC0.62—Unverified
2CLIP+SVD+ViTDSC0.61—Unverified
3CLIP+SVD+ResNetDSC0.6—Unverified
4CLIP+ViTDSC0.59—Unverified
5Chatgpt+SVDDSC0.58—Unverified
6RMAnDSC0.55—Unverified
7RAN3DSC0.54—Unverified
8SAME++DSC0.49—Unverified
9DnetDSC0.47—Unverified
#ModelMetricClaimedVerifiedStatus
1LKRetinamAUC0.76—Unverified
2SuperRetinamAUC0.76—Unverified
3REMPE, JBHI 2020mAUC0.72—Unverified
4GLAMpoints, ICCV 2019mAUC0.62—Unverified
5SIFTmAUC0.57—Unverified
6PBO, ICIP 2010mAUC0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1DnetASD5.01—Unverified
2RMAnASD3.83—Unverified
3RAN4+ASD3.8—Unverified
4RAN3ASD3.01—Unverified
#ModelMetricClaimedVerifiedStatus
1Region-specific Diffeomorphic Metric MappingDice68.18—Unverified
2vSVF-net [shen2019networks]Dice67.59—Unverified
#ModelMetricClaimedVerifiedStatus
1Recursive Refinement Networklandmarks0.83—Unverified