Segmentation Using a Region Growing Algorithm
Rensselaer Polytechnic Institute
| Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1305 |
Published in The Insight Journal - RPI - OpenSource 2007.
Submitted by Matt Edman on 10-18-2007.
This document describes an example implementation of segmenting the ventricles of the brain using the Insight Toolkit. Ventricle segmentation is done using the simple confidence connected region growing algorithm.
Included with this paper is the source code, input data, parameters and output data used to validate the implementation described in this paper.
Included with this paper is the source code, input data, parameters and output data used to validate the implementation described in this paper.
Data
5 Files (49Mb)
ConfidenceConnected.cxx (3Kb)
CMakeLists.txt (754b)
ConfidenceConnected.pdf (36Kb) [view paper]
Normal075-MRA.mha (24Mb)
Normal075-MRA.out.mha (24Mb)
CMakeLists.txt (754b)
ConfidenceConnected.pdf (36Kb) [view paper]
Normal075-MRA.mha (24Mb)
Normal075-MRA.out.mha (24Mb)
Code
Automatic Testing Results
by Insight-Journal Dashboard
on Fri Dec 7 15:28:36 2007 for revision #1 
expertise: 5 sensitivity: 5 
This project was submitted with no test cases.Click here for more details.
Go here to access the main testing dashboard.
Reviews
Quick Comments
Resources
|
|
| Download Package | |
| Download Paper, View Paper | |
Statistics more
|
|
| Global rating: |
|
| Review rating: | [review]
|
| Code rating: |  
|
| Paper Quality: |
|
Information more
|
|
| Keywords: | region growing, confidence connected, |
| Export citation: | |
Share
|
Associated Publications more
|
||
| Image Segmentation: Ventricle Isolation Using Region Growing | ||
View license
Loading license...
Send a message to the author
