Difference between revisions of "Feature Extraction with Particles"

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==Key Investigators==
 
==Key Investigators==
 
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Raul San Jose, James Ross (Brigham and Women's Hospital)
  
 
==Project Description==
 
==Project Description==
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[http://www.ncbi.nlm.nih.gov/pubmed/19834216 Scale-space particles] are a feature extraction tool that samples an image domain looking for second-order features based on Hessian information in both scale and space. Scale-space particles are implemented in Teem as part of the pull library.
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
*
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* Create a user-friendly interface to allow feature extraction based on space-scale particles in ROIs.
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* The primary goal is to develop a module that
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** can enable visual parameter exploration for whole image-domain feature extraction
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** can provide interactive features extraction in ROIs 
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
*
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* Integrate the functionality of the pull library as a VTK class
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* Create a python module that relies on a vtkSlicerLogic class to orchestrate the VTK functionality.
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
*
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* Integration of latest Teem into [https://github.com/Slicer/teem  Slicer] (Special thanks to Hans Johnson and JC for their help).
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* VTK class is almost complete. The main standing issue it the creation of a stack of blur volumes in memory.
 
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Latest revision as of 08:19, 9 January 2015

Home < Feature Extraction with Particles

Key Investigators

Raul San Jose, James Ross (Brigham and Women's Hospital)

Project Description

Scale-space particles are a feature extraction tool that samples an image domain looking for second-order features based on Hessian information in both scale and space. Scale-space particles are implemented in Teem as part of the pull library.

Objective

  • Create a user-friendly interface to allow feature extraction based on space-scale particles in ROIs.
  • The primary goal is to develop a module that
    • can enable visual parameter exploration for whole image-domain feature extraction
    • can provide interactive features extraction in ROIs

Approach, Plan

  • Integrate the functionality of the pull library as a VTK class
  • Create a python module that relies on a vtkSlicerLogic class to orchestrate the VTK functionality.

Progress

  • Integration of latest Teem into Slicer (Special thanks to Hans Johnson and JC for their help).
  • VTK class is almost complete. The main standing issue it the creation of a stack of blur volumes in memory.