Gap Completion

Here you can find demo code for the paper

  • Kaynig, V., Fuchs, T., Buhmann, J. M., Neuron Geometry Extraction by Perceptual Grouping in ssTEM Images, CVPR, 2010. PDF

    • Before you can run the demo you need to do two things:

  • Download the Matlab code from here and unzip it into a folder in your Matlab path
  • You have to compile transformImageFast.c using Matlab for your operating system. The demo only includes a compiled version for windows.
  • You need to get the matlab wrapper for the max-flow/min-cut implementation from Miki Rubinstein from here

    • Afterwards you can run demo.m to see example segmentations and the precision recall curves for a street view image of San Francisco and an example image from the drosophila larva dataset. The result should look like this:

    Screenshot of the demo for the San Francisco street view
    Figure 1: Screenshot of the demo run for a San Francisco street view example image. The color overlay shows example segmentations using gradient flux (red) and our good continuation term (green). In the precision recall plot, the colors also are red for gradient flux and green for good continuation.
    Screenshot of the demo for a drosophila larva image
    Figure 2: Screenshot of the demo run for a drosohpila larva TEM image. The color code for the first images is the same as for the street view image. In addition the image in the lower right corner shows a color overlay of the segmentation with good continuation and the ground truth label. False positives are shown in green and false negatives are colored in red.

    If you encounter any problems or have any questions, please contact me: verena.kaynig@inf.ethz.ch