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F20 preprocessing removing outliers from raw images #21

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DmytroKushnirSoftserveinc
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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.

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