Publication 2003 Issue No. 3 - July-September Abstract - Volumetric Segmentation Using Weibull E-SD Fields
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Volumetric Segmentation Using Weibull E-SD Fields
July-September 2003 (vol. 9 no. 3)
pp. 320-328
 ASCII Text x Jiuxiang Hu, Anshuman Razdan, Gregory M. Nielson, Gerald E. Farin, D. Page Baluch, David G. Capco, "Volumetric Segmentation Using Weibull E-SD Fields," IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp. 320-328, July-September, 2003.
 BibTex x @article{ 10.1109/TVCG.2003.1207440,author = {Jiuxiang Hu and Anshuman Razdan and Gregory M. Nielson and Gerald E. Farin and D. Page Baluch and David G. Capco},title = {Volumetric Segmentation Using Weibull E-SD Fields},journal ={IEEE Transactions on Visualization and Computer Graphics},volume = {9},number = {3},issn = {1077-2626},year = {2003},pages = {320-328},doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2003.1207440},publisher = {IEEE Computer Society},address = {Los Alamitos, CA, USA},}
 RefWorks Procite/RefMan/Endnote x TY - JOURJO - IEEE Transactions on Visualization and Computer GraphicsTI - Volumetric Segmentation Using Weibull E-SD FieldsIS - 3SN - 1077-2626SP320EP328EPD - 320-328A1 - Jiuxiang Hu, A1 - Anshuman Razdan, A1 - Gregory M. Nielson, A1 - Gerald E. Farin, A1 - D. Page Baluch, A1 - David G. Capco, PY - 2003KW - 3D segmentationKW - Weibull E-SD fieldKW - noise indexKW - confocal laser scanning microscopeKW - CLSM.VL - 9JA - IEEE Transactions on Visualization and Computer GraphicsER -

Abstract—This paper presents a coarse-grain approach for segmentation of objects with gray levels appearing in volume data. The input data is on a 3D structured grid of vertices $v(i,j,k)$, each associated with a scalar value. In this paper, we consider a voxel as a $\kappa\times\kappa\times \kappa$ cube and each voxel is assigned two values: expectancy and standard deviation (E-SD). We use the Weibull noise index to estimate the noise in a voxel and to obtain more precise E-SD values for each voxel. We plot the frequency of voxels which have the same E-SD, then 3D segmentation based on the Weibull E-SD field is presented. Our test bed includes synthetic data as well as real volume data from a confocal laser scanning microscope (CLSM). Analysis of these data all show distinct and defining regions in their E-SD fields. Under the guide of the E-SD field, we can efficiently segment the objects embedded in real and simulated 3D data.

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Index Terms:
3D segmentation, Weibull E-SD field, noise index, confocal laser scanning microscope, CLSM.
Citation:
Jiuxiang Hu, Anshuman Razdan, Gregory M. Nielson, Gerald E. Farin, D. Page Baluch, David G. Capco, "Volumetric Segmentation Using Weibull E-SD Fields," IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp. 320-328, July-Sept. 2003, doi:10.1109/TVCG.2003.1207440