Difference between revisions of "Seedings results comparison"

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<h3>Progress</h3>
 
<h3>Progress</h3>
* Implemented 3 different algorrithms with ITK:
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* Implemented 3 different algorithms with ITK:
 
** Tensor voting,
 
** Tensor voting,
 
** Hough transform,
 
** Hough transform,
** Multiscale Distance Map weighted Laplacian of Gaussian.  
+
** Multi-scale Distance Map weighted Laplacian of Gaussian.  
 
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</div>
 
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Revision as of 22:14, 8 June 2010

Home < Seedings results comparison

Key Investigators

  • Harvard Medical School: Antonin Perrot-Audet, Kishore Mosaliganti, Sean Megason
  • RPI: Badri Roysam

Project

Seed.png

Objective

  • Improve segmentation algorithms initialization for nuclei detection in 3D fluorescent microscopy:
    • get a better accuracy,
    • improve computation speed.

Approach, Plan

  • Compare different algorithms,
  • Find a measure to evaluate different algorithm results,
  • Fusion output of several algorithms.

Progress

  • Implemented 3 different algorithms with ITK:
    • Tensor voting,
    • Hough transform,
    • Multi-scale Distance Map weighted Laplacian of Gaussian.