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Region-based 3D Mesh Compression Using an Efficient Neighborhood-based Segmentation

Lijun Chen, Nicolas D. Georganas
2008 Simulation (San Diego, Calif.)  
The server needs to segment the object into parts and send them individually or sequentially. This paper presents a segmentation based 3D mesh compression scheme that can meet this requirement.  ...  We propose an efficient eXtended Multi-Ring neighborhood (XMR) based 3D mesh segmentation algorithm that decomposes the object into meaningful regions.  ...  Efficient and Robust XMR Neighborhood based Watershed Segmentation In this section, we propose an efficient and robust XMR neighborhood based watershed segmentation algorithm using Gaussian curvature and  ... 
doi:10.1177/0037549708093374 fatcat:4ayswms75zdzhk2utaizaycwxm

A New Hybrid Algorithm based on Watershed Method, Confidence Connected Thresholding and Region Merging as Preprocessing for Statistical Classification of General Medical Images

Gerald Zwettler, Werner Backfrieder
2013 International Journal of Privacy and Health Information Management  
In this work an algorithm is presented for presegmentation of general medical input data, based on a watershed-segmentation strategy utilizing both, original intensities and derived gradient magnitudes  ...  Based on such a context-independent pre-segmentation, the resulting manageable number of regions can be further merged and classified, utilizing texture features and a priori statistical models.  ...  This research is part of the INVERSIA project ( which was funded by the European Regional Development Fund (ERDF) in cooperation with the Upper Austrian state government (REGIO13  ... 
doi:10.4018/ijphim.2013070104 fatcat:rgro2rq5lrdj5jnu6omdknm26m

Robust region segmentation based on a pseudo-distance map

Byoung-Ki Jeon
2004 Journal of Electronic Imaging (JEI)  
We present a robust region segmentation method based on a pseudo-distance map (PDM) that uses a watershed algorithm as a segmentation tool.  ...  We also propose a simple and efficient region-merging criterion that considers both boundary strengths and inner intensities of regions to be merged.  ...  Through several experiments we showed that the proposed region-merging criterion, along with the PDM-based method, yielded final segmentation results superior to conventional methods.  ... 
doi:10.1117/1.1758952 fatcat:fh3tifzcqvf77iddc564vmijmy

Hybrid segmentation of depth images using a watershed and region merging based method for tree species recognition

Ahlem Othmani, Alexandre Piboule, Lew F.C. Lew Yan Voon
2013 IVMSP 2013  
Our method transforms the 3D point cloud of a 30 cm segment of the tree trunk into a depth image on which a hybrid segmentation method using watershed and region merging techniques is applied in order  ...  In this paper, we propose a new method for individual tree species recognition based on the analysis of the 3D geometric texture of tree barks.  ...  to produce a primary segm input depth images, while the second weakness boundary based region-mergin obtain the final segmented map [6] .  ... 
doi:10.1109/ivmspw.2013.6611901 dblp:conf/ivmsp/OthmaniPV13 fatcat:26kqzrj4rbh3znqb7tmz3qt7fm

Extraction and parametrization of grain boundary networks in glacier ice, using a dedicated method of automatic image analysis

2013 Journal of Microscopy  
The initial segmentation step of the software is to separate possible boundaries of grains and air inclusions from background.  ...  High resolution is achieved, so that small grain sizes and local curvatures of grain boundaries can systematically be investigated.  ...  Features based on the grey value do not allow to segment grain boundaries reliably and to keep the ratio of artificial segmentation boundaries low.  ... 
doi:10.1111/jmi.12029 pmid:23573838 fatcat:jzg7ippxsffwbhxange3kip3du

Hierarchical, model-based merging of multiple fragments for improved three-dimensional segmentation of nuclei

Gang Lin, Monica K. Chawla, Kathy Olson, John F. Guzowski, Carol A. Barnes, Badrinath Roysam
2004 Cytometry Part A  
Starting with oversegmented data, it searches efficiently for the optimal merging pattern guided by a quantitative scoring criterion based on object modeling.  ...  , even with a modest merging tree depth of 3.  ...  Fragments have been merged based on the shape and local curvature characteristics along the watershed lines (33) .  ... 
doi:10.1002/cyto.a.20099 pmid:15584021 fatcat:525ra2uamrehdfpzbfoa2tlwty

A Morphological Methodology for Three-dimensional Human Face Soft-tissue Landmarks Extraction: A Preliminary Study

F. Calignano, E. Vezzetti
2010 Aesthetic Plastic Surgery  
At present their detection and location is made by expert physicians with palpation operations.  ...  In order to reach this aim it is necessary to implement a methodology, based on landmarks geometrical codification, that mathematically formalizes the physician visual and palpation analysis on the real  ...  (a) Watershed depth, (b) merging adjacent regions with shallow depths. Table 1. Topographic classes.  ... 
doi:10.1007/s00266-010-9579-6 pmid:20848098 fatcat:2xvzdd6tgja4loiyv7kirwxrri

Integrated profiling of three dimensional cell culture models and 3D microscopy

Cemal Cagatay Bilgin, Sun Kim, Elle Leung, Hang Chang, Bahram Parvin
2013 Computer applications in the biosciences : CABIOS  
The proposed curvature-based partitioning method is validated with both synthetic and real data, and is shown to have a superior performance against previous techniques.  ...  formed by perceptual boundaries from adjacent nuclei.  ...  (i) Figure 5 shows a sample of segmentation results and comparison with variants of watershed-based method.  ... 
doi:10.1093/bioinformatics/btt535 pmid:24045773 pmcid:PMC3834800 fatcat:uxeukidjszezpe4ekfeyq4ymby

A Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation

E. Hodneland, N.V. Bukoreshtliev, T.W. Eichler, Xue-Cheng Tai, S. Gurke, A. Lundervold, H.-H. Gerdes
2009 IEEE Transactions on Medical Imaging  
This revealed that combination of the respective cell types with the most suitable microscopy method resulted in high success rates up to 97%.  ...  The segmentation results from two different automated approaches for segmentation are compared to manual segmentation of the same data using a rigorous evaluation scheme.  ...  The second merging criterion restricts the allowed difference in size of the two merging candidates.  ... 
doi:10.1109/tmi.2008.2011522 pmid:19131295 fatcat:mrqyxpug4jcn3m7f65ugl7klcq

Automatic segmentation of HeLa cell images [article]

Jan Urban
2011 arXiv   pre-print
Lot of images with young, adult and mixture cells were able to prove the quality of described algorithms.  ...  Proper segmentation is one of the main task of image analysis and steps order differ from work to work, depending on input images.  ...  Watershed Boundary curvature ratio Merging criterion to improve the oversegmentation of watershed algorithm attempting to utilize boundary information to more visually appropriate segmentation.  ... 
arXiv:1101.2312v1 fatcat:obmg5bwryvbc7mdmf7zimd67ly

Model design for scalable two-dimensional model-based video coding

M. Hu, S. Worrall, A.H. Sadka, A.M. Kondoz
2002 Electronics Letters  
As the boundary is almost a line in some positions, no point is allocated if we only use curvature as a criterion. This is not the optimal mesh structure based on the results in [7] .  ...  Using curvature as a criterion has some advantages. First, the number of points can be easily controlled. Points are allocated on the position with highest curvature first.  ... 
doi:10.1049/el:20020980 fatcat:l6tduqlf3jfdvabt4jvnfsvldq

Watersnakes: Energy-driven watershed srgmentation

Hieu Tat Nguyen, M. Worring, R. van den Boomgaard
2003 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Watersnakes: energy-driven watershed segmentation Nguyen, T.H.; Worring, M.; van den Boomgaard, R.  ...  In [3] , Leclerc suggests a segmentation approach based on the minimum description length criterion.  ...  COMPARISON OF WATERSNAKES WITH ENERGY-BASED SEGMENTATION METHODS In this section, we compare watersnakes with other energybased segmentation methods.  ... 
doi:10.1109/tpami.2003.1182096 fatcat:esjdfdumyrefdipbvlh2wmzkbm

Merging toward natural clusters

Zhi-gang Tan
2009 Optical Engineering: The Journal of SPIE  
Under a region merging framework, we demonstrate the effectiveness of the stop criterion using two merging criterion: one based on optimizing a global functional, and another based on a local criterion  ...  This problem inevitably occurs in region merging/growing, a well studied and popular technique in image segmentation. Region merging usually needs a stop criterion.  ...  Question 2 points toward a merging criterion based on stepwise optimizing a global functional and also a modified criterion with local constraints.  ... 
doi:10.1117/1.3183892 fatcat:53kak6ktdfamfb2iy7s5u5iz4m

Detection of Spots in 2-D Electrophoresis Gels by Symmetry Features [chapter]

Martin Persson, Josef Bigun
2005 Lecture Notes in Computer Science  
The implementation was compared with a previously published Watershed segmentation and a commercial software.  ...  A feed forward neural network is used to find decision boundaries in the feature space. The neural network is trained with features extracted from manually segmented 2-DE images.  ...  2-DE image segmentation algorithm based upon Symmetry Derivatives and compared it with the widely used Watershed segmentation technique and a commercial software package.  ... 
doi:10.1007/11551188_47 fatcat:ftnxylthu5bxvmet27ot4m6sbe

Segmentation and Shape Extraction of 3D Boundary Meshes [article]

Ariel Shamir
2006 Eurographics State of the Art Reports  
In this report we present the state of the art on segmentation, or partitioning techniques used on boundary meshes.  ...  We formulation the segmentation problem as an optimization problem and identify two primarily distinct types of mesh segmentation, namely parts segmentation and patch segmentation.  ...  The watershed algorithm, originally used for images segmentation, is in fact a region growing algorithm with multiple sources.  ... 
doi:10.2312/egst.20061056 fatcat:scp6cwa6cjb4lauvpfebzzjf4y
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