Difference between revisions of "Seedings results comparison"
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * Implemented 3 different algorithms | + | * Implemented 3 different algorithms in various langages: |
** Radial voting, | ** Radial voting, | ||
** Hough transform, | ** Hough transform, | ||
** Multi-scale Distance Map weighted Laplacian of Gaussian. | ** Multi-scale Distance Map weighted Laplacian of Gaussian. | ||
| + | * Created a collaboration framework using ITK: | ||
| + | ** Set of utilities for input images normalization | ||
| + | ** Developed a windowed local maxima filter | ||
| + | * Evaluated and compared output of on synthetic 2D data & 3D Nuclei channel from Megason Lab | ||
| + | ** Multi-scale Distance Map weighted Laplacian of Gaussian. | ||
| + | ** Radial voting | ||
| + | |||
</div> | </div> | ||
Revision as of 04:57, 25 June 2010
Home < Seedings results comparisonKey Investigators
- Harvard Medical School: Antonin Perrot-Audet, Kishore Mosaliganti, Sean Megason
- RPI: Badri Roysam, Raghav Padmanabhan
Project
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 in various langages:
- Radial voting,
- Hough transform,
- Multi-scale Distance Map weighted Laplacian of Gaussian.
- Created a collaboration framework using ITK:
- Set of utilities for input images normalization
- Developed a windowed local maxima filter
- Evaluated and compared output of on synthetic 2D data & 3D Nuclei channel from Megason Lab
- Multi-scale Distance Map weighted Laplacian of Gaussian.
- Radial voting
Ressources
- Source code :
git@github.com:antonin07130/NAMICSeeding.git
We shall use git for version control : A small introduction to git : here
- Data set :
Non public
