Difference between revisions of "Feature Extraction with Particles"
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==Key Investigators== | ==Key Investigators== | ||
| − | + | Raul San Jose, James Ross (Brigham and Women's Hospital) | |
==Project Description== | ==Project Description== | ||
| + | [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. | ||
<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | * | + | * 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 | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | * | + | * 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. | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * | + | * Integration of latest Teem into [https://github.com/Slicer/teem 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. | ||
</div> | </div> | ||
</div> | </div> | ||
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.
