A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
Filters
Intensity-Based Image Registration by Minimizing Residual Complexity
2010
IEEE Transactions on Medical Imaging
Preserved Fulltext
The final measure can be interpreted as one that favors a registration with minimum compression complexity of the residual image between the two registered images. ...
Index Terms-Bias field, image registration, nonstationary intensity distortion, residual complexity, sparseness. 1 Spatial stationarity implies the equal form of the probability density function regardless ...
We propose a new intensity-based similarity measure to deal with complex spatially-varying intensity distortions. ...
doi:10.1109/tmi.2010.2053043
pmid:20562036
fatcat:t3bzr46m7nb5bfcutnag3cn5ya
Intensity based image registration by minimizing exponential function weighted residual complexity
2013
Computers in Biology and Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a novel intensity-based similarity measure for medical image registration. ...
By introducing a specifically designed exponential weighting function to the residual term in residual complexity, the proposed similarity measure performed well due to automatically weighting the residual ...
The frequently used intensity-based similarity measures are defined by corresponding pixel intensities between images to be aligned. ...
doi:10.1016/j.compbiomed.2013.07.017
pmid:24034740
fatcat:bgj7jgq6vvbijlvr4iriznjcsm
Personalized X-ray Reconstruction of the Proximal Femur via a New Control Point-based 2D-3D Registration and Residual Complexity Minimization
[article]
2014
Eurographics Workshop on Visual Computing for Biomedicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
at this stage are done based on minimizing the complexity of the residual images between the C-arm images and the associated DRRs. ...
In order to account for intensity nonstationarities and complex spatially-varying intensity distortion in the deformable b-spline 2D-3D registration stage, the intensity-based 2D-2D image registrations ...
Acknowledgement The CT data used in the simulation study was provided by Prof. Dr. P. Zysset. ...
doi:10.2312/vcbm.20141194
fatcat:o4udjcbkzzehbo2nins6fjsimq
Image registration by minimization of residual complexity
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
The final measure can be interpreted as one that favors a registration with minimum compression complexity of the residual image between the two registered images. ...
Accurate definition of similarity measure is a key component in image registration. ...
Whereas in sparse coding, the task is to search for sparse bases and coefficients to represent the image, in image registration we are given the bases and looking for the alignment where the residual image ...
doi:10.1109/cvprw.2009.5206571
fatcat:u4ro3wgqdbgfdpdfef7at5pshy
Image registration by minimization of residual complexity
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
The final measure can be interpreted as one that favors a registration with minimum compression complexity of the residual image between the two registered images. ...
Accurate definition of similarity measure is a key component in image registration. ...
Whereas in sparse coding, the task is to search for sparse bases and coefficients to represent the image, in image registration we are given the bases and looking for the alignment where the residual image ...
doi:10.1109/cvpr.2009.5206571
dblp:conf/cvpr/MyronenkoS09
fatcat:6l6b6yovzfavvbcb7rtcglsyha
Attribute Vector Guided Groupwise Registration
[chapter]
2009
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
By minimizing the overall JS divergence in the whole image space and estimating the deformation field of each image simultaneously, we can eventually register all images and build an unbiased atlas. ...
In this paper, we employ attribute vectors, instead of image intensities, to guide groupwise registration. ...
This work is supported by NIH grants 1R01EB006733 and 1R01EB009634. ...
doi:10.1007/978-3-642-04268-3_81
fatcat:s34czletfneu5billf4bkfl2y4
Attribute vector guided groupwise registration
2010
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
By minimizing the overall JS divergence in the whole image space and estimating the deformation field of each image simultaneously, we can eventually register all images and build an unbiased atlas. ...
In this paper, we employ attribute vectors, instead of image intensities, to guide groupwise registration. ...
This work is supported by NIH grants 1R01EB006733 and 1R01EB009634. ...
doi:10.1016/j.neuroimage.2010.01.040
pmid:20097291
pmcid:PMC2839051
fatcat:ohrilhwbezhrrauusb4a72uoja
A TV-l 1 based nonrigid image registration by coupling parametric and non-parametric transformation
2015
International Journal of Automation and Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Moreover, accounting for the effect of spatially-varying intensity distortions and the sparse gradient prior of the deformation field, we adopt the residual complexity (RC) as the similarity metric and ...
To overcome the conflict between the global robustness and the local accuracy in the dense nonrigid image registration, we propose a union registration approach using a l1-norm based term to couple the ...
Compared to other similarity measures, image registration by minimizing the residual complexity is simple in terms of both computational complexity and implementation, and meanwhile produces accurate registration ...
doi:10.1007/s11633-014-0874-6
fatcat:5ip5as7rujgkfcxgh63ptqxuvm
Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing
[chapter]
2013
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This study introduces a combination of two registration techniques for respiratory motion removal and the quantification of small bowel motility from free breathing cine MRI. ...
The use of robust data decomposition registration (RDDR) allows for exclusive correction of respiratory motion in order to avoid errors in further analysis of motility due to the effects of breathing. ...
This project was supported by the National Institute for Health Research, University College London Hospitals, Biomedical Research Centre. ...
doi:10.1007/978-3-642-40763-5_17
fatcat:5iovncdah5dsvf6yi34djqii4i
Image Registration for the Alignment of Digitized Historical Documents
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
After the evaluation of different algorithms, we choose an intensity based registration algorithm with a curved transformation model. ...
From a number of similarity measures, we found that residual complexity and localized mutual information are well suited for the task at hand. ...
Residual Complexity (RC) The residual complexity (RC) is, like the sum of squared distances, also based on the pixel intensity differences, i.e., residual, between the reference and moving images. ...
arXiv:1712.04482v1
fatcat:7u4mcc5lqrf3vbqylvldx2rame
Deep sparse representation for robust image registration
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
The definition of the similarity measure is an essential component in image registration. In this paper, we propose a novel similarity measure for registration of two or more images. ...
One of the key advantages of the proposed similarity measure is its robustness to severe intensity distortions, which widely exist on medical images, remotely sensed images and natural photos due to the ...
The residual complexity (RC) [17] is one of the best measures for registering two images corrupted by severe intensity distortion [8] , which uses the discrete cosine transform (DCT) to sparsify the ...
doi:10.1109/cvpr.2015.7299123
dblp:conf/cvpr/LiCYH15
fatcat:pbac6vldqbh2xk4w6v65foqerm
Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information
2001
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
Automatic registration is achieved by maximization of a similarity measure which generalizes the correlation ratio, and whose novelty is to incorporate multivariate information from the MR data (intensity ...
We present a new image-based technique to rigidly register intraoperative three-dimensional ultrasound (US) with preoperative magnetic resonance (MR) images. ...
Other approaches are image based in the sense that registration is performed using the image data itself. ...
doi:10.1109/42.959301
pmid:11686439
fatcat:3tvcq5qy45hgrnntohlrh273ne
Simultaneous multi-modal registration of multiple images based on multi-dimensional joint phase moment distributions
2008
Pattern Recognition (ICPR), Proceedings of the International Conference on
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Experimental results using real-world medical and remote sensing images show that the proposed method achieves a high level of registration accuracy when simultaneously registering multiple multimodal ...
images. ...
intensity feature spaces to a common feature space based on complex wavelet phase moments. ...
doi:10.1109/icpr.2008.4761912
dblp:conf/icpr/Wong08
fatcat:tlillsfug5brtnqmyw7kgkv44m
COMPARISON OF CONTOUR FEATURE BASED AND INTENSITY BASED INSAT-3D MET IMAGES COREGISTRATION FOR SUB PIXEL ACCURACIES
2018
ICTACT Journal on Image and Video Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Feature based registration techniques are commonly used and intensity based techniques are also put to use in these contexts rarely. ...
The acquired images have to be guaranteed for their geometric fidelity to a standard of choice among themselves by image registration. ...
Residual maps shown by three plots for input (before registration), using feature matching by phase correlation and the intensity based method advocated. ...
doi:10.21917/ijivp.2018.0243
fatcat:ynmywndjkzbizeyrc57wtlzgxm
Block-Coordinate Gauss-Newton/regression Method for Image Registration with Efficient Outlier Detection
2007
Proceedings of IEEE international conference on image processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Excluding outliers, we can successfully align images compensating the intensity differences. ...
Based on the block-coordinate method, we separate the parameter update into two steps for registration and compensation, respectively. ...
Therefore, besides reducing the computational complexity, we can obtain a stable solution if we using BCGNR. A panorama image is constructed in Fig. 2 based on BCGNR using 5 images. ...
doi:10.1109/icip.2007.4379005
dblp:conf/icip/KimL07
fatcat:tdbusicvgvbfhejwomgryrbneq
« Previous
Showing results 1 — 15 out of 23,670 results