Feature Extraction with Particles

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  Projects List

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

• VTK class is under development. The primary issue now is to