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Tensor Field Segmentation Using Region Based Active Contour Model [chapter]

Zhizhou Wang, Baba C. Vemuri
2004 Lecture Notes in Computer Science  
It naturally leads to a curve evolution equation for tensor field segmentation, which is subsequently expressed in a level set framework and solved numerically.  ...  Synthetic and real data experiments involving the segmentation of diffusion tensor MRI as well as structure tensors obtained from real texture data are shown to depict the performance of the proposed model  ...  Mareci and E.Özarslan for providing the DT-MRI data and Dr. R. Deriche for his valuable comments on this research.  ... 
doi:10.1007/978-3-540-24673-2_25 fatcat:7bew77y74fdp5b4ii573vntftu

Segmenting Images on the Tensor Manifold

Yogesh Rathi, Allen Tannenbaum, Oleg Michailovich
2007 2007 IEEE Conference on Computer Vision and Pattern Recognition  
We demonstrate the effectiveness of our algorithm by segmenting various textured images using the structure tensor. A level set based scheme is proposed to implement the curve flow evolution equation.  ...  In this work, we explicitly use the Riemannian structure of the tensor space in designing our algorithm.  ...  They can either reveal structural information of an image (structure tensor) [3] or characterize the diffusion of water molecules as in diffusion tensor imaging (DTI) [2] .  ... 
doi:10.1109/cvpr.2007.383010 dblp:conf/cvpr/RathiTM07 fatcat:hnziqcdtqnfxrhtomkbn5kgm2e

Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking

Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar Nath, Gunasekaran Seetharaman
2007 Journal of Multimedia  
The object segmentation algorithm uses level set-based geodesic active contour evolution that incorporates the fusion of visible color and infrared edge informations in a novel manner.  ...  Index Terms-Flux tensor, sensor fusion, object tracking, active contours, level set, infrared images.  ...  image IR (c) MoG on RGB (d) MoG on IR (e) Flux on IR Figure 6: Moving object detection results for OTCBVS benchmark sequence 3:1.  ... 
doi:10.4304/jmm.2.4.20-33 pmid:19096530 pmcid:PMC2605095 fatcat:wti63z2zp5dbvp6biv6usunfrq

White Matter Mapping in DT-MRI Using Geometric Flows [chapter]

Lisa Jonasson, Patric Hagmann, Xavier Bresson, Reto Meuli, Olivier Cuisenaire, Jean-Philippe Thiran
2003 Lecture Notes in Computer Science  
The front propagation is implemented using level set methods by Osher and Sethian [1] to simplify the handling of topology changes and provides an elegant tool for smoothing the segmented tracts.  ...  This kind of information can also be used for white matter registration and for surgical planning.  ...  To use the geometrical flows for image segmentation, the evolution of the curve or surface has to depend on external properties dependent on the image features.  ... 
doi:10.1007/978-3-540-45210-2_53 fatcat:mfvvuowhtndndmnpes56k62xke

A level set method for segmentation of the thalamus and its nuclei in DT-MRI

Lisa Jonasson, Patric Hagmann, Claudio Pollo, Xavier Bresson, Cecilia Richero Wilson, Reto Meuli, Jean-Philippe Thiran
2007 Signal Processing  
We present a method for segmenting white matter as well as the gray matter structures from diffusion tensor magnetic resonance images (DT-MRI).  ...  The region-based force is defined by using a very sensitive similarity measure between DT. We apply our method for segmenting the thalamus and its nuclei.  ...  To use the geometric flows for image segmentation, the evolution of the curve or surface has to depend on external properties determined by the image features.  ... 
doi:10.1016/j.sigpro.2005.12.017 fatcat:kbli6fi3cjecpffx44wesmnsom

Colour, texture, and motion in level set based segmentation and tracking

Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert
2010 Image and Vision Computing  
The application of this approach to two-phase segmentation is followed by an extension to the tracking of multiple objects in image sequences.  ...  This paper introduces an approach for the extraction and combination of different cues in a level set based image segmentation framework.  ...  Introduction The segmentation and tracking of objects in image sequences is a challenging problem in image analysis.  ... 
doi:10.1016/j.imavis.2009.06.009 fatcat:hpiansgxtbdw5osdxmpv7a46sm

A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape

Daniel Cremers, Mikael Rousson, Rachid Deriche
2006 International Journal of Computer Vision  
for image segmentation.  ...  In this paper, we present a survey of a specific class of region-based level set segmentation methods and clarify how they can all be derived from a common statistical framework.  ...  We also thank Zhizhou Wang for fruitful discussions, and Thomas Brox, Rodrigo de Luís García, Christophe Lenglet, Gianfranco Doretto, Paolo Favaro, Stefano Soatto and Anthony Yezzi for providing image  ... 
doi:10.1007/s11263-006-8711-1 fatcat:squjpkcfhvecbdx2ol423wmpiy

A geometric flow-based approach for diffusion tensor image segmentation

W. Guo, Y. Chen, Q. Zeng
2008 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
Diffusion tensor magnetic resonance imaging (DT-MRI, shortened as DTI ) produces, from a set of diffusion-weighted magnetic resonance images, tensor-valued images where each voxel is assigned a 3!  ...  We validate the proposed model and compare it with some other methods using synthetic and human brain DTI data; experimental results indicate that the proposed model improves the accuracy and efficiency  ...  Thanks also go to the reviewers and the editors for their valuable comments.  ... 
doi:10.1098/rsta.2008.0042 pmid:18426777 pmcid:PMC3268217 fatcat:ytnh2d7gr5czjom7bg7comwqse


2001 International Journal of Image and Graphics  
The main concentration of this paper is to demonstrate the usage of regularizers in PDEs and level set framework to achieve the image segmentation in still and motion imagery.  ...  The paper first presents PDEs and their solutions applied to image diffusion.  ...  Thanks go to Professor Eric Grimson, MIT, Cambridge, MA, for the vasculature images and Dr. Nikos Paragios, Siemens Corporate Research, Princeton, NJ, for the zebra and chest CT images.  ... 
doi:10.1142/s0219467801000402 fatcat:s7xbvj5apfaszctjafy4adm2te

Dictionary Based Image Segmentation [chapter]

Anders Bjorholm Dahl, Vedrana Andersen Dahl
2015 Lecture Notes in Computer Science  
To divide an image into separated regions with similar texture we use an implicit level sets representation of the curve, which makes our method topologically adaptive.  ...  We propose a method for weakly supervised segmentation of natural images, which may contain both textured or non-textured regions.  ...  The authors acknowledge the financial support from CIN-EMA: the allianCe for ImagiNg of Energy MAterials (grant no. 1305-00032B) and NEXIM project (grant no. 11-116226), both funded by the Danish Council  ... 
doi:10.1007/978-3-319-19665-7_3 fatcat:57pcu5ohsjextblcw4b4dtvp44

White matter fiber tract segmentation in DT-MRI using geometric flows

Lisa Jonasson, Xavier Bresson, Patric Hagmann, Olivier Cuisenaire, Reto Meuli, Jean-Philippe Thiran
2005 Medical Image Analysis  
We use a level set implementation to assure a stable and accurate evolution of the surface and to handle changes of topology of the surface during the evolution process.  ...  In this paper, we present a 3D geometric flow designed to segment the main core of fiber tracts in diffusion tensor magnetic resonance images.  ...  Acknowledgements This work is supported by the Swiss National Science Foundation Grant Nos. 2153-066943.01 and 3235B0-102868.  ... 
doi:10.1016/ pmid:15854843 fatcat:j6nsrwpcq5abjifjmlj33dbn2u

Fast geodesic active contours

R. Goldenberg, R. Kimmel, E. Rivlin, M. Rudzsky
2001 IEEE Transactions on Image Processing  
The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images.  ...  It is applied at small regions, motivated by Adalsteinsson-Sethian level set narrow band approach, and uses Sethian's fast marching method for re-initialization.  ...  Yavneh for intriguing conversations and N. Paragios for useful correspondence.  ... 
doi:10.1109/83.951533 pmid:18255491 fatcat:sgy2cwelazaivlppyo74rx4cga

Fast Geodesic Active Contours [chapter]

Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael Rudzsky
1999 Lecture Notes in Computer Science  
The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images.  ...  It is applied at small regions, motivated by Adalsteinsson-Sethian level set narrow band approach, and uses Sethian's fast marching method for re-initialization.  ...  Yavneh for intriguing conversations and N. Paragios for useful correspondence.  ... 
doi:10.1007/3-540-48236-9_4 fatcat:bievu4xuivdalifz47i4o6q2yu

4-D Tensor Voting motion segmentation for obstacle detection in autonomous guided vehicle

Yann Dumortier, Isabelle Herlin, Andre Ducrot
2008 2008 IEEE Intelligent Vehicles Symposium  
This paper tackles this problem and defines an highly parallelisable image motion segmentation method for taking into account the current evolution of multi processor computer technology.  ...  A complete and modular solution is proposed, based on the Tensor Voting framework extended to the 4D space (x, y, dx, dy), where surfaces describe homogeneous moving areas in the image plan.  ...  Medioni (professor at the Institute for Robotics and Intelligence Systems, University of Southern California) for his contribution to this work through private discussions.  ... 
doi:10.1109/ivs.2008.4621203 fatcat:lf6bwacu2vh35la466dbkipytq

Affine layer segmentation and adjacency graphs for vortex detection

S. Heroor, I. Cohen
2004 Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.  
These layers are computed using a parametric tensor voting and encoded in an adjacency graph.  ...  In this paper we review and present different methods for the detection and characterization of vortices. Our algorithm works on the segmentation of the image into affine layers.  ...  Acknowledgments The authors would like to thank the AIR project at INRIA for the use of the data. This research was partially funded by the NSF US-France cooperation (INRIA) research grant.  ... 
doi:10.1109/icpr.2004.1333744 dblp:conf/icpr/HeroorC04 fatcat:n75wnzvikre43hurmmm7hofdai
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