Please use this identifier to cite or link to this item:
http://dx.doi.org/10.14279/depositonce-1097
Main Title: | Automatic Segmentation and Skeletonization of Neurons from Confocal Microscope Images based on the 3-D Wavelet Transform |
Author(s): | Dima, Anca Scholz, Michael Obermayer, Klaus |
Type: | Preprint |
Language: | English |
Language Code: | en |
Abstract: | In this work, we focus on methods for the preprocessing of neurons from three-dimensional (3-D) confocal microscopy images, which are needed for a subsequent detailed morphologic analysis. Due to the specific image properties of confocal microscopy scans, we had to include several heuristic approaches to guarantee meaningful results: 1) a reliable segmentation of objects of different sizes independent of image contrast, and, based on it, 2) the computation of skeleton points along the branch central axes, and 3) the reliable detection of branching points and of problematic regions. These are preprocessing steps to gather information which is needed by the subsequent construction of a graph representing the geometry of the neuron and a final surface reconstruction. |
URI: | urn:nbn:de:kobv:83-opus-10970 http://depositonce.tu-berlin.de/handle/11303/1394 http://dx.doi.org/10.14279/depositonce-1097 |
Issue Date: | 14-Sep-2005 |
Date Available: | 14-Sep-2005 |
DDC Class: | 004 Datenverarbeitung; Informatik |
Subject(s): | 3D Neuronale Daten Confokale Mikroskopie Confocal Segmentation 3D Multiscale Curvature 3D Neuronal Data 3D-Wavelet Edge Detection Across-Scales Validation Branch Detection Confocal Microscopy Segmentation |
License: | http://rightsstatements.org/vocab/InC/1.0/ |
Notes: | Revised version published in: IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 11, NO. 7, JULY 2002, S. 790-801 |
Appears in Collections: | Inst. Softwaretechnik und Theoretische Informatik » Publications |
Files in This Item:
File | Description | Size | Format | |
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Dokument_4.pdf | 9.53 MB | Adobe PDF | ![]() View/Open |
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