Canny Edge Detection

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Canny Edge Detector Algorithm was implemented based on the following steps:

  1. Convert to Grayscale
  2. Smoothing: Blurring the image to remove noise.
  3. Finding gradients: The edges should be marked where the gradients of the image has large magnitudes.
  4. Non-maximum suppression: Only local maxima should be marked as edges.
  5. Double thresholding: Potential edges are determined by thresholding.
  6. Edge tracking by hysteresis: Final edges are determined by suppressing all edges that are not connected to a very strong edge.

you can see the codes in the github repository(https://github.com/beytullahsarica/ImageProcessing/tree/master/CannyEdgeDetection)

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