Difference between revisions of "Feature Extraction with Particles"
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Revision as of 08:18, 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.
