/blood_vessel_reconstruction

Creating disparity and point clouds based on stereo endoscopy videos from robotic surgery

Primary LanguagePython

blood_vessel_reconstruction

Creating disparity and point clouds based on stereo endoscopy videos from robotic surgery

Evaluated on the Hamlyn Dataset

  1. Uses Stereo Block Matching algorithms to estimate disparity map
  2. Uses data from images passed through a Gaussian Adaptive Threshold to isolate blood vessels
  3. Cross matches blocks from left and right pairs alternating with blood vessel-thesholded images
  4. Produces a real time disparity map of the surgery site

Dependencies: OpenCV Contrib Numpy Sklearn

Examples of output: alt text alt text alt text alt text