
Image Segmentation Project - Open source software practices class
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1304 |
Published in The Insight Journal - RPI - OpenSource 2007.
Submitted by Amit Mukherjee on 10-18-2007.
This document describes implementation of two Level-set segmentation algorithms using Insight Toolkit
ITK . The algorithms chosen for implementation are are 1) Geodesic Active contour Levelset segmentation and 2) Shape Detection Levelset segmentation. The project is oriented to expose the concepts of Open Data, Open Source and Open Access which form the pillars of open-source software ideology.
ITK . The algorithms chosen for implementation are are 1) Geodesic Active contour Levelset segmentation and 2) Shape Detection Levelset segmentation. The project is oriented to expose the concepts of Open Data, Open Source and Open Access which form the pillars of open-source software ideology.
Data
CMakeLists.txt (2Kb)
CMakeTemplate.txt (1Kb)
source.zip (7Mb)
Project1a.pdf (57Kb) [view paper]
resultsGeodesic.mha (6Mb)
resultsShape.mha (6Mb)
IJMacros.txt (3Kb)
ImageCompare.cxx (7Kb)
Normal002-T2.mha (7Mb)
Project1a.cxx (10Kb)
CMakeTemplate.txt (1Kb)
source.zip (7Mb)
Project1a.pdf (57Kb) [view paper]
resultsGeodesic.mha (6Mb)
resultsShape.mha (6Mb)
IJMacros.txt (3Kb)
ImageCompare.cxx (7Kb)
Normal002-T2.mha (7Mb)
Project1a.cxx (10Kb)
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Keywords: | Image segmentation 3D, Level set segmentation |
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