Image Python Plugin Scenario

Warning

This section is under construction! Some information might be missing.

Dynamically implement an image resampling plugin

1. Browsing

   • Load image YR01_t40_crop.inr.gz

   • Export to manager

2. Python Algorithm

   • Change plugin name to isometricResampling

   • Change plugin documentation to Perform an isometric resampling on an image.

   • Add input form: gnomonImage / img

   • Add output form: gnomonImage / resampled_img

   • Add parameter: Double / voxelsize / Resampled voxelsize

   • Change parameter bounds to 0.1, 5.

   • After # add your imports before the next gnomon tag add the import line: python  from timagetk.algorithms.resample import isometric_resampling

   • After the # implement the run method replace pass by the following lines: python self.resampled_img[time] = isometric_resampling(img, method=self['voxelsize'])

   • Swipe to the right in the menu

   • Put the image as input (if not done automatically)

   • Apply

   • Change voxelsize parameter

   • Apply

   • Export to manager

3. Python Algorithm

   • Load testHessianEigenvals.py - Show the parsed info

   • Swipe to the right in the menu

   • Apply

   • Export to manager

4. Pipeline

   • Show the generated nodes

Video