Detecting edges

Edge detection is one of the most popular techniques in Computer Vision. It is used as a preprocessing step in many applications. Let's look at how to use different edge detectors to detect edges in the input image.

How to do it…

  1. Create a new Python file, and import the following packages:
    import sys
    import cv2
    import numpy as np 
  2. Load the input image. We will use chair.jpg:
    # Load the input image -- 'chair.jpg'
    # Convert it to grayscale 
    input_file = sys.argv[1]
    img = cv2.imread(input_file, cv2.IMREAD_GRAYSCALE)
  3. Extract the height and width of the image:
    h, w = img.shape
  4. Sobel filter is a type of edge detector that uses a 3x3 kernel to detect horizontal and vertical edges separately. You can learn more about it at ...

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