SoftServeSAG / 3d_reconstruction

The goal of the project is 3D reconstruction of small objects
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F20 preprocessing removing outliers from raw images #21

Open DmytroKushnirSoftserveinc opened 5 years ago

DmytroKushnirSoftserveinc commented 5 years ago

Moved here implementations of two filtering methods for filtering registration artifacts:

  1. Take only the blob with the biggest border-length
  2. Use the k-means to cluster background and noise to separatable clusters using color information.

Also incorporated filtering stage into the whole reconstruction pipeline. As a result, we have stable reconstruction results as before outliers caused the failure of matching image parts.