DocumentCode :
1855780
Title :
3-D Zebrafish Embryo Image Filtering by Nonlinear Partial Differential Equations
Author :
Rizzi, B. ; Campana, M. ; Zanella, C. ; Melani, C. ; Cunderlik, R. ; Kriva, Z. ; Bourgine, P. ; Mikula, K. ; Peyrieras, N. ; Sarti, A.
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
6251
Lastpage :
6254
Abstract :
We discuss application of nonlinear PDE based methods to filtering of 3-D confocal images of embryogenesis. We focus on the mean curvature driven and the regularized Perona-Malik equations, where standard as well as newly suggested edge detectors are used. After presenting the related mathematical models, the practical results are given and discussed by visual inspection and quantitatively using the mean Hausdorff distance.
Keywords :
biomedical optical imaging; filtering theory; image denoising; medical image processing; partial differential equations; 3D confocal images; 3D zebrafish embryo image filtering; edge detectors; embryogenesis; mean Hausdorff distance; nonlinear partial differential equation; regularized Perona-Malik equation; visual inspection; Biomedical imaging; Detectors; Embryo; Filtering; Filters; Image edge detection; Image processing; Mathematical model; Nonlinear equations; Partial differential equations; Algorithms; Animals; Artificial Intelligence; Computer Simulation; Embryo, Nonmammalian; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Microscopy, Confocal; Models, Biological; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Zebrafish;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353784
Filename :
4353784
Link To Document :
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