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segmentation 64

 
segmentation
Category: Utilities / Other Utilities  
Author: segmentation.sourceforge.net | Published: Sep 11, 2012
License: Freeware | O/S:
Uninstaller: no








Multispectral image region merging segmentation. Please use Subversion to download latest version. Repository address is https://segmentation.svn.sourceforge.net/svnroot/segmentation

File Size: 346.1 KB   Price: $0.00   Downloads: 4
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segmentation also mentioned on ShareMe

1.  Seg3D - Multimedia & Design/Graphic & Design
... Seg3D is a handy, easy to use application specially designed to offer users a volume segmentation and processing tool. Seg3D combines a flexible manual segmentation interface with powerful higher-dimensional image processing and segmentation algorithms from the Insight Toolkit. Users can explore and label image volumes using volume rendering and orthogonal slice view windows. for WindowsAll ...
 
2.  ITK-SNAP Medical Image Segmentation Tool - Utilities/Other Utilities
... ITK-SNAP is a tool for segmenting anatomical structures in medical images. It provides an automatic active contour segmentation pipeline, along with supporting manual segmentation toolbox. ITK-SNAP has a full-featured UI aimed at clinical researchers. <br>Automatic segmentation of 3D medical images using active contour methods<br>Dynamic navigation with 3D cursor linked across multiple windows and sesssions<br>A set of tools for manual and computer-assisted manual segmentation<br>Support ...
 
3.  Theba image segmentation framework - Utilities/Mac Utilities
... Theba is a plugin-based image analysis framework for segmentation of and measurements on 3D and 2D images. Theba has a nice GUI that allows inspection and manipulation of the image and a wide range of plugins including segmentation. ...
 
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... HWST stands for "Hierarchical Watershed Transformation" which is an image segmentation technique. The HWST library was designed for a comfortable use as a JAI operator (Java Advanced Imaging). ...
 
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... LiverSegm has been developed with the processing of liver images in mind. This software implements a level set based variational approach that incorporates shape priors and appearance models. It uses ITK Snap as interface. FEATURES: A· Automatic liver segmentation A· Semi-automatic injury segmentation ...
 

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