How it works...

cv2.cornerHarris is OpenCV's function which implements, as follows from the name, the Harris corners detector. It takes six arguments: the first four arguments are mandatory and last two arguments have default values. The arguments are as follows:

  • Single-channel 8-bit or floating-point image, on which corners are to be detected
  • Size of the neighborhood window: it should be set to a small value larger than 1
  • Size of the window to compute derivatives: it should be set to an odd number
  • Sensitivity coefficient for the corners detector: it's usually set to 0.04
  • An object where you can store the results
  • The borders extrapolation method

The borders extrapolation method determines the manner of image extending. It can be set to ...

Get OpenCV 3 Computer Vision with Python Cookbook now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.