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Wand image.edge function in Python

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Edge Extraction is an effect after which the edges present in image gets highlighted. It is done in order to detect all the edges present in image. edge() function highlight edges on black and white images with a simple convolution filter. Generally, Edge Detection is used by Computer Vision and Machine Learning.

Syntax :

wand.image.edge(radius=radius)

Parameters :

Parameter Input Type Description
radius numbers.Real the radius of the, in pixels, not counting the center pixel.

Image Used :

Example #1:




# import Image from wand.image module
from wand.image import Image
  
# read image using Image() function
with Image(filename ="koala.jpeg") as img:
    # transform image to grayscale image
    img.transform_colorspace('gray')
  
    # edge extraction using edge() function
    img.edge(1)
    img.save(filename ="edgekoala.jpeg")


Output:

Example #: Increasing radius Value.




# import Image from wand.image module
from wand.image import Image
  
# read image using Image() function
with Image(filename ="koala.jpeg") as img:
  
    # transform image to grayscale image
    img.transform_colorspace('gray')
  
    # edge extraction using edge() function
    img.edge(3)
    img.save(filename ="edgekoala.jpeg")


Output:



Last Updated : 22 Apr, 2020
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