Canny Edge Detection Algorithm | OpenCV | Deep Learning

Canny Edge Detection is a popular edge detection algorithm.

OpenCV (Open source computer vision) is a library of programming functions mainly aimed at real-time computer vision

The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images.

Process of Canny Edge Detection Algorithm:

Apply Gaussian filter to smooth the image in order to remove the noise

Find the intensity gradients of the image.

Apply non-maximum suppression to get rid of spurious response to edge detection.

Apply double threshold to determine potential edges.

Track edge by hysteresis: Finalize the detection of edges by suppressing all the other edges that are weak and not connected to strong edges.

steps:

Download openCV library using command pip install opencv-python.

Go to your IDE and write the code as shown below.

Run the code to get desired output.

Operation of Canny Algorithm in openCV:

Write the code in python program file and execute it. There is no need to import numpy and matplotlib in this algorithm.

A brief code to implement — Canny Algorithm

Output:

The output is basically a difference between normal image and edge detection image.

Real time edge detection using — Canny Algorithm