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Guest Editorial: Special Section on Nonlinear and Model-Based Image Analysis

Stephen Marshall
1999 Journal of Electronic Imaging (JEI)  
Many existing methods employ ad hoc filtering approaches or use standard median and weighted median filters regardless of their optimality or effect on image structure.  ...  Lloret, Lopez, Serrat, and Villanueva, in ''Creaseness-based CT and MR registration: comparison with the mutual information method,'' introduce an algorithm for image registration, taking the problem of  ...  He is a founding member of the Nonlinear Signal and Image Processing Board. G U E S T  ... 
doi:10.1117/1.482698 fatcat:k524xoxmyncmzbpi4xzk5pisde

Local Image Registration by Adaptive Filtering

G. Caner, A.M. Tekalp, G. Sharma, W. Heinzelman
2006 IEEE Transactions on Image Processing  
Index Terms-Adaptive filtering, image registration, local image registration, nonparametric image registration, stirmark recovery, watermark synchronization.  ...  We propose a new adaptive filtering framework for local image registration, which compensates for the effect of local distortions/displacements without explicitly estimating a distortion/displacement field  ...  We can classify image registration techniques into two main groups: 1) global image registration methods that employ parametric spatial transformations and 2) local image registration methods that can  ... 
doi:10.1109/tip.2006.877514 pmid:17022269 fatcat:35zztklexfc6jhajdacwhyqaze

A Comparative Study of Adaptive Registration Methods for Two Dimensional Gel Electrophoresis Images

Huamei Xin, Yuemin Zhu, Longfei Wu
2007 IEEE Engineering in Medicine and Biology Society. Conference Proceedings  
The registration of 2DGE images is considered as one of key elements in protein identification. This paper proposes a single adaptive registration scheme for 2DGE images.  ...  Within the scheme, three registration methods based on the combined use of global linear affine and local nonlinear thin-plate spline (TPS), Demons, B-spline algorithms are explored and compared.  ...  In our present study, a multi-resolution strategy is used in the three nonlinear registration methods.  ... 
doi:10.1109/iembs.2007.4353781 pmid:18003447 fatcat:aredqxdjcvd3no4femlipjx7jq

Improved spatial regression analysis of diffusion tensor imaging for lesion detection during longitudinal progression of multiple sclerosis in individual subjects

Bilan Liu, Xing Qiu, Tong Zhu, Wei Tian, Rui Hu, Sven Ekholm, Giovanni Schifitto, Jianhui Zhong
2016 Physics in Medicine and Biology  
Results demonstrated that the sensitivity and accuracy of the SPREAD method has been improved substantially by adapting nonlinear anisotropic filtering. iSPREAD identifies subject-specific longitudinal  ...  In the present study, we propose an improved SPREAD (dubbed improved SPREAD, or iSPREAD) method by incorporating a three-dimensional (3D) nonlinear anisotropic diffusion filtering method, which provides  ...  In the final step, the nonlinear registration tool of FSL (FNIRT) was used to perform the nonlinear registration.  ... 
doi:10.1088/0031-9155/61/6/2497 pmid:26948513 pmcid:PMC5739591 fatcat:smambaqhxbh4dnrsiwhfzgy3ce

Enhancing retinal images by nonlinear registration

G. Molodij, E.N. Ribak, M. Glanc, G. Chenegros
2015 Optics Communications  
We apply a nonlinear registration method using local correlation tracking to increase the field of view and follow structure evolutions using correlation techniques borrowed from solar astronomy technique  ...  In this paper, we propose to share the knowledge acquired in the fields of optics and imaging in solar astrophysics in order to improve the retinal imaging at very high spatial resolution in the perspective  ...  Fig. 5 displays the registration on fifteen high resolution images using the nonlinear method to correct the residual distortions after adaptive optics compensation.  ... 
doi:10.1016/j.optcom.2014.12.058 fatcat:cwcrkyefqnfg3arybsqndjdmvu

Video restoration and enhancement: algorithms and applications

Ling Shao, Jorge E. Caviedes, Kai-Kuang Ma, Erwin Bellers
2011 Signal, Image and Video Processing  
The article "Adding explicit content classification to nonlinear filters", authored by Hu and de Haan, investigates several categories of nonlinear filters: order statistics filters, hybrid filters, neural  ...  Therefore, novel algorithms must be developed or classical methods must be adapted to suit this new scenario.  ... 
doi:10.1007/s11760-010-0206-4 fatcat:z3epepa7dbhdlissyla4ljoecq

Nonlinear Spectral Image Fusion [chapter]

Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017 Lecture Notes in Computer Science  
In this paper we demonstrate that the framework of nonlinear spectral decompositions based on total variation (TV) regularization is very well suited for image fusion as well as more general image manipulation  ...  We conclude that the proposed spectral TV image decomposition framework is a valuable tool for semi-and fullyautomatic image editing and fusion.  ...  MBe further acknowledges support from the Leverhulme Trust early career fellowship "Learning from mistakes: a supervised feedback-loop for imaging applications" and the Newton Trust.  ... 
doi:10.1007/978-3-319-58771-4_4 fatcat:xizsbwr52bggzi6dps36oti2zi

Nonlinear Spectral Image Fusion [article]

Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017 arXiv   pre-print
In this paper we demonstrate that the framework of nonlinear spectral decompositions based on total variation (TV) regularization is very well suited for image fusion as well as more general image manipulation  ...  We conclude that the proposed spectral TV image decomposition framework is a valuable tool for semi- and fully-automatic image editing and fusion.  ...  MBe further acknowledges support from the Leverhulme Trust early career fellowship "Learning from mistakes: a supervised feedback-loop for imaging applications" and the Newton Trust.  ... 
arXiv:1703.08001v1 fatcat:k4z2lwworvdbfp3fdqctxjppza

A New Method for CT to Fluoroscope Registration Based on Unscented Kalman Filter [chapter]

Ren Hui Gong, A. James Stewart, Purang Abolmaesumi
2006 Lecture Notes in Computer Science  
The method relies on the Unscented Kalman Filter to search for an optimal registration solution and on modern commodity graphics cards for fast generation of digitally reconstructed radiographs.  ...  We extensively test our method using three different anatomical data sets and compare it with an implementation of the commonly used simplex-based method.  ...  In this paper, we propose to use the Unscented Kalman Filter (UKF) as the optimization method.  ... 
doi:10.1007/11866565_109 fatcat:7o3gvoraergvnftkpjdcegy4ya

Nonrigid registration of medical image based on adaptive local structure tensor and normalized mutual information

Tiejun Yang, Qi Tang, Lei Li, Jikun Song, Chunhua Zhu, Lu Tang
2019 Journal of Applied Clinical Medical Physics  
The simulated brain image with single-modality and multimodality are used for registration validation experiments.  ...  The different parameters of Gaussian filtering are defined according to the regional variance, the adaptive Gaussian filtering is introduced into the local structure tensor.  ...  After adding adaptive Gaussian filtering with adaptive variance and template, the large deformation region is successfully registered. image registration experiments.  ... 
doi:10.1002/acm2.12612 pmid:31124248 pmcid:PMC6560247 fatcat:mcputupjm5girmdxdup2fgu3eq

MRI segmentation: Methods and applications

L.P. Clarke, R.P. Velthuizen, M.A. Camacho, J.J. Heine, M. Vaidyanathan, L.O. Hall, R.W. Thatcher, M.L. Silbiger
1995 Magnetic Resonance Imaging  
Image pre-processing and registration are discussed, as well as methods of validation.  ...  Particular emphasis is placed on the relative merits of single image versus multlspectral segmentation, and supervised versus unsupervised segmentation methods.  ...  entropy methods (MEM), and adaptive nonlinear filtering.  ... 
doi:10.1016/0730-725x(94)00124-l pmid:7791545 fatcat:3iq7mze52fby3nivbrir4fgqve

Least median of squares filtering of locally optimal point matches for compressible flow image registration

Edward Castillo, Richard Castillo, Benjamin White, Javier Rojo, Thomas Guerrero
2012 Physics in Medicine and Biology  
The spatial accuracy of the method is measured using ten thoracic CT image sets and large samples of expert determined landmarks (available at www.dir-lab.com).  ...  Compressible flow based image registration operates under the assumption that the mass of the imaged material is conserved from one image to the next.  ...  the LFC method can be viewed as an adaptation of a surface reconstruction methodology for use within a DIR framework.  ... 
doi:10.1088/0031-9155/57/15/4827 pmid:22797602 pmcid:PMC3448271 fatcat:ppawrgkckje4xhepswmejtojmq

Nonlinear Diffusion based on Bayesian Estimator in Laplacian Pyramid Domain for Ultrasonic Speckle Reduction

Md. MotiurRahman, Mina Mina, Mohammad Azim
2012 International Journal of Applied Information Systems  
In this method, speckle is removed by nonlinear diffusion filtering of bandpass ultrasound images in Laplacian pyramid domain.  ...  Laplacian pyramid based nonlinear diffusion (LPND) method is proposed for speckle noise reduction in medical ultrasound imaging.  ...  equation (8) and LPND method using Butterworth lowpass filtering, its diffusion coefficient is computed using follows equation (9) .The gradient threshold is determined by experience in all method.  ... 
doi:10.5120/ijais12-450795 fatcat:okh63vsxmbdtromhiqs3utxi2m

1982 Index - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-4

1982 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Image processing N Nonlinear filtering nonlinear restoration of images degraded by additive white noise.  ...  Chen, Chi Hau, T-PAMI Mar 82 129-132 Adaptive Kalman filtering personnel intrusion detection using seismic sensors; adaptive digital filtering and Kalman filtering to extract impulse-like signal features  ... 
doi:10.1109/tpami.1982.4767328 fatcat:22qk4hl7drdafkirhz5ow6l27q

SAR Image Registration Based on ROEWA-Blocks and Multiscale Circle Descriptor

Yameng Hong, Chengcai Leng, Xinyue Zhang, Huaiping Yan, Jinye Peng, Licheng Jiao, Irene Cheng, Anup Basu
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
To improve registration efficiency between SAR images, we propose a robust and efficient registration method with three main contributions.  ...  Experimental results for various thresholds and evaluations demonstrate the advantage and robustness of our method in registration.  ...  METHOD We will describe our method for SAR image registration in five subsections below. First is scale space construction based on the nonlinear diffusion filter.  ... 
doi:10.1109/jstars.2021.3119923 fatcat:pto257iaurdyfkhz2sgtnawnxe
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