DocumentCode :
2720421
Title :
Segmentation and Tracking of 3D Neuron Microscopy Images using a PDE Based Method and Connected Component Labeling algorithm
Author :
Wang, Yalin ; Jo, Illhwan ; Wong, Stephen ; Yau, Shing-Tung ; Chan, Tony F.
Author_Institution :
Dept. of Math., California Univ., Los Angeles, CA
fYear :
2006
fDate :
38899
Firstpage :
1
Lastpage :
2
Abstract :
In this paper we introduce our preliminary research results for segmentation and labeling of 3-dimensional microscopy neuron image. We segment each of stacked 2-dimensional image slices using a partial differential equation (PDE) based algorithm and project previous slice segmentation result to the next slide as an initialization condition. Then we label neurons using an efficient connected component labeling algorithm. We show sample results obtained from real neuron image data
Keywords :
biomedical optical imaging; image segmentation; medical image processing; neurophysiology; partial differential equations; 3D neuron microscopy images; PDE; connected component labeling algorithm; image segmentation; neuron tracking; partial differential equation; Biomedical imaging; Image edge detection; Image segmentation; Labeling; Mathematics; Microscopy; Neurons; Object detection; Partitioning algorithms; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Life Science Systems and Applications Workshop, 2006. IEEE/NLM
Conference_Location :
Bethesda, MD
Print_ISBN :
1-4244-0277-8
Electronic_ISBN :
1-4244-0278-6
Type :
conf
DOI :
10.1109/LSSA.2006.250432
Filename :
4015833
Link To Document :
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