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A Clustering based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram

Yisha Lan, Yimin Ding, Xin Luo, Yanzhao Zhang, Chenxi Huang, E.Y.K. Ng, Weihong Huang, Xuezhong Zhou, Jie Su, Yonghong Peng, Zhicheng Wang, Yongqiang Cheng (+1 others)
2019 IEEE Access  
INDEX TERMS Gray-gradient mode histogram, clustering analysis, transfer function, volume rendering.  ...  In this paper, a new approach of the transfer function is proposed based on clustering analysis of gray-gradient mode histogram, where volume data is represented in a two-dimensional histogram.  ...  In this paper, we propose a two-dimensional transfer function based on clustering analysis of gray-gradient mode histogram to divide volume data accurately.  ... 
doi:10.1109/access.2019.2923080 fatcat:lxur3lkpybffvpgfxhnywqwpsi

2D Histogram based volume visualization: combining intensity and size of anatomical structures

S. Wesarg, M. Kirschner, M. F. Khan
2010 International Journal of Computer Assisted Radiology and Surgery  
Purpose Surgical planning requires 3D volume visualizations based on transfer functions (TF) that assign optical properties to volumetric image data.  ...  Alternatively, the gradient magnitude could be used as second property for 2D TF definition.  ...  Acknowledgment Our thanks go to Kevin Schelten for proof-reading this manuscript.  ... 
doi:10.1007/s11548-010-0480-1 pmid:20512631 fatcat:4gns5wnvabgpbgy6xklh7t7eqy

Modified Dendrogram of Attribute Space for Multidimensional Transfer Function Design

Lei Wang, Xin Zhao, A. E. Kaufman
2012 IEEE Transactions on Visualization and Computer Graphics  
Such a transfer function for direct volume rendering employs a multidimensional space, termed attribute space. The MD reveals the hierarchical structure information of the attribute space.  ...  We introduce a modified dendrogram (MD) (with subtrees to represent clusters) and display it in 2D for multidimensional transfer function design.  ...  The monkey head and CT chest datasets are courtesy of The Volume Library. All other datasets are courtesy of volvis.org.  ... 
doi:10.1109/tvcg.2011.23 pmid:21282856 fatcat:udx6jw7xmrfmtk42fixavcvahq

3D Visualization of Medical Image Data Employing 2D Histograms

Stefan Wesarg, Matthias Kirschner
2009 2009 Second International Conference in Visualisation  
Transfer functions (TF) are a means for improving the visualization of 3D medical image data. If in addition to intensity another property is employed, two-dimensional TFs can be specified.  ...  For this, 2D histograms are helpful. In this work we investigate how the property feature size can be used for the definition of 2D TFs and the visualization of medical image data.  ...  An opacity TF is automatically defined based on the gradient magnitude value, the color of each cluster is randomly assigned and also used for the volume rendering.  ... 
doi:10.1109/viz.2009.30 fatcat:ee5tvb2thvhkxh5bli6vess54a

Modified Dendrogram of High-dimensional Feature Space for Transfer Function Design

Lei Wang, Xin Zhao, Arie Kaufman
2012 IEEE Conference on Visualization, Proceedings of the  
Such a TF for direct volume rendering often employs a multi-dimensional feature space.  ...  We introduce a modified dendrogram (MD) (with sub-trees to represent the feature space clusters) and display it in continuous space for multi-dimensional transfer function (TF) design and modification.  ...  Introduction Transfer function (TF) plays an essential role in direct volume rendering.  ... 
pmid:26279612 pmcid:PMC4536829 fatcat:wv25qtmd4fgyhlp3oip3kqgccm

An Automated Adaption of K-means Based Hybrid Segmentation System into Direct Volume Rendering Object Distinction Mode for Enhanced Visualization Effect

Arash Azim Zadeh Irani, Bahari Belaton
2012 2012 Ninth International Conference on Computer Graphics, Imaging and Visualization  
The rendering mode is modified to accommodate masking information generated by a K-means-based hybrid segmentation algorithm.  ...  It suffers from the overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction.  ...  Texture assignment and local rendering The standard volume rendering techniques use global and single dimensional transfer functions for the object distinction process.  ... 
doi:10.1109/cgiv.2012.14 dblp:conf/IEEEcgiv/IraniB12 fatcat:mo4nrrkk6nc2ncdszarw6r2whu

Gradient magnitude vs. feature size

S. Wesarg, M. Kirschner
2009 Computer Graphics International on - CGI '09  
Gradient magnitude is an additional property that has been used predominantly for defining TFs based on 2D histograms. Recently, feature size has been introduced as an alternative.  ...  By giving visualization examples for well-known volume data sets we conclude that employing feature size for TF specification is more intuitive than gradient magnitude based approaches.  ...  Table 1 : 1 The parameters used in this work for defining the transfer functions for opacity and color.  ... 
doi:10.1145/1629739.1629754 dblp:conf/cgi/WesargK09 fatcat:62q343lgjjafrh4vxfma2nos3m

A Cluster Hierarchy-based Volume Rendering Approach for Interactive Visual Exploration of Multi-variate Volume Data [article]

Petar Dobrev, Tran Van Long, Lars Linsen
2011 International Symposium on Vision, Modeling, and Visualization  
The interactive selections are automatically mapped to a transfer function for a linked 3D texture-based direct volume rendering, where brushing in parallel coordinates leads to the generation of a 3D  ...  For multi-variate data, traditional methods for interactive transfer functions generation are of limited use. We propose a novel approach, where the user operates in a cluster space.  ...  Acknowledgments The work was supported by the German Research Foundation (DFG, LI 1530/6-1) and the Vietnam National Foundation for Science and Technology Development (NAFOSTED,102.01-2010.09).  ... 
doi:10.2312/pe/vmv/vmv11/137-144 dblp:conf/vmv/DobrevLL11 fatcat:u3ekzmlkxvanrj6nxei5darbmi

State of the Art in Transfer Functions for Direct Volume Rendering

Patric Ljung, Jens Krüger, Eduard Groller, Markus Hadwiger, Charles D. Hansen, Anders Ynnerman
2016 Computer graphics forum (Print)  
A central topic in scientific visualization is the transfer function (TF) for volume rendering.  ...  Beyond this core functionality, TFs also serve as a tool for encoding and utilizing domain knowledge and as an expression for visual design of material appearances.  ...  In 2010, Arens and Domik [AD10] authored a survey of TFs for volume rendering in which they subdivided TFs into the follow- ing six categories: 1D data-based, gradient 2D, curvature-based, size-based  ... 
doi:10.1111/cgf.12934 fatcat:wcmeh3op6zcybglg6mjdyn6qy4

Color Tunneling: Interactive Exploration and Selection in Volumetric Datasets

Christophe Hurter, Russ Taylor, Sheelagh Carpendale, Alexandru Telea
2014 2014 IEEE Pacific Visualization Symposium  
We demonstrate our techniques on three domain areas: 2D image segmentation and manipulation, 3D medical volume exploration, and astrophysical exploration.  ...  For 3D data, this is aggravated by occlusion, important adjacencies, and entangled patterns. Such challenges make visual interaction via common filtering techniques hard.  ...  ACKNOWLEDGEMENTS We thank A. Diaconeasa MD PhD and D.  ... 
doi:10.1109/pacificvis.2014.61 dblp:conf/apvis/HurterTCT14 fatcat:6vk2r5t3yrbb5b3zj5husreaeu

Performance Evaluation of Runtime Data Exploration Framework based on In-Situ Particle Based Volume Rendering

2017 Supercomputing Frontiers and Innovations  
In addition, in Ref. [4], it was shown that the volume rendering makes visual analytics flexible by extending the definition of transfer functions (TFs) into multi-dimension.  ...  Multi-dimensional transfer functions (MDTFs) generate not only three dimensional (3D) volume rendering, but also iso-surfaces, slice planes, image cropping, and image composition.  ...  Susumu Yamashita for providing the JUPITER code. The benchmark test was performed on the ICE X at the Japan Atomic Energy Agency.  ... 
doi:10.14529/jsfi170302 fatcat:zc2kkews7bht3ignkyl5alvcx4

Multidimensional Transfer Functions for Volume Rendering [chapter]

JOE KNISS, GORDON KINDLMANN, CHARLES D. HANSEN
2005 Visualization Handbook  
We would also like to thank NVIDIA, ATI and sgi for their making their latest generations of hardware available.  ...  Acknowledgments The authors would like to thank Al McPherson from the ACL at LANL for fruitful and provocative conversations about volumetric shadows.  ...  Gradient-based surface shading is also unsuitable for shading volume-renderings of multivariate fields.  ... 
doi:10.1016/b978-012387582-2/50011-3 fatcat:cqbyrflfqrhjdce245u2ilhike

Multidimensional transfer functions for interactive volume rendering

J. Kniss, G. Kindlmann, C. Hansen
2002 IEEE Transactions on Visualization and Computer Graphics  
We also describe how to use modern graphics hardware to both interactively render with multi-dimensional transfer functions and to provide interactive shadows for volumes.  ...  Most direct volume renderings produced today employ onedimensional transfer functions, which assign color and opacity to the volume based solely on the single scalar quantity which comprises the dataset  ...  Summary This paper demonstrates the importance of multi-dimensional transfer functions for direct volume rendering applications.  ... 
doi:10.1109/tvcg.2002.1021579 fatcat:xt6m56oqwfbgbb64ixk4gfcism

Transfer Function design toolbox for full-color volume datasets

Martin Falk, Ingrid Hotz, Patric Ljung, Darren Treanor, Anders Ynnerman, Claes Lundstrom
2017 2017 IEEE Pacific Visualization Symposium (PacificVis)  
In this paper, we tackle the challenge of effective Transfer Function (TF) design for Direct Volume Rendering (DVR) of full-color datasets.  ...  We propose a novel TF design toolbox based on color similarity which is used to adjust opacity as well as replacing colors.  ...  The most common scenario is having a scalar dataset as input, which is turned into a color rendering mapping the scalar values to color and transparency using an appropriate transfer function.  ... 
doi:10.1109/pacificvis.2017.8031591 dblp:conf/apvis/FalkHLTYL17 fatcat:mduh6q5smrc2nov7o7lamzvuqa

MObjects--A Novel Method for the Visualization and Interactive Exploration of Defects in Industrial XCT Data

Andreas Reh, Christian Gusenbauer, Johann Kastner, M. Eduard Groller, Christoph Heinzl
2013 IEEE Transactions on Visualization and Computer Graphics  
From a set of individual objects (I) a MObject is calculated. MObjects are visualized by transfer functions based on the probability of each voxel of belonging to the MObject (1 and 2).  ...  After calculating the individual object properties volume, dimensions and shape factors, all objects are clustered into a mean object (MObject).  ...  Figure 4 shows how the gray-yellow-blue gradient is shifted in the transfer function based on σ .  ... 
doi:10.1109/tvcg.2013.177 pmid:24051858 fatcat:wqcaqfxchrbctga6ch2ojar7b4
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