Canny Edge Detection

Simpson family

The Canny Edge Detection is a popular edge detection algorithm. It was developed by John F. Canny in 1986. It is a multi-stage algorithm. Also known to many as the optimal detector, Canny algorithm aims to satisfy three main criteria:

  • Low error rate: Meaning a good detection of only existent edges.
  • Good localization: The distance between edge pixels detected and real edge pixels have to be minimized.
  • Minimal response: Only one detector response per edge.

Canny Edge Detection in OpenCV: cv2.Canny().

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