Segmentation and Tracking of 3D Neuron Microscopy Images using a PDE Based Method and Connected Component Labeling algorithm

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...

Full description

Saved in:
Bibliographic Details
Published in:2006 IEEE/NLM Life Science Systems and Applications Workshop : Bethesda, Maryland, 6-7 July 2006 pp. 1 - 2
Main Authors: Yalin Wang, Ilhwan Jo, Wong, S., Shing-Tung Yau, Chan, T.F.
Format: Conference Proceeding
Language:English
Published: IEEE 01.07.2006
Subjects:
Biomedical imaging
Image edge detection
Image segmentation
Labeling
Mathematics
Microscopy
Neurons
Object detection
Partitioning algorithms
Target tracking
ISBN:9781424402779, 1424402778
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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
ISBN:9781424402779
1424402778
DOI:10.1109/LSSA.2006.250432