Python-Image-to-Sketch

Editor = Pavan Ananth Sharma

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Introduction:

In Python, an image is just a two-dimensional array of integers. So one can do a couple of matrix manipulations using various python modules in order to get some very interesting effects. In order to convert the normal image to a sketch, we will change its original RGB values and assign its RGB values similar to grey, in this way a sketch of the input image will be generated. Here we will experiment with multiple approaches to get the best output, lets hope for the best

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Dependency

numpy
imageio
scipy.ndimage
cv2

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Approach 1:

• Import all required modules (numpy, imageio, scipy.ndimage, OpenCV).
• Take Image input.
• Check RGB value of image and convert into according to RGB values.
• Show finale image output using cv2.imwrite().

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Approach 2:

pip install cv2

• Then we will import cv2 inside our code, after that, we will use some of the following functions, so we use import * from cv2 or import cv2
• imread()- This function will load the image i.e in the specified folder.
• cvtColor()- This function takes color as an argument and then changes the source image color into that color.
• bitwise_not()- This function will help the image to keep the properties as same by providing the masking to it.
• GaussianBlur()- This function is used to modify the image by sharpening the edges of the image, smoothen the image, and will minimize the blurring property.
• divide()- This function is used for the normalization of the image as it doesn’t lose its previous properties.
• Finally will save the image using imwrite() function.

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Conclusion:

Lets hope you have enjoyed this tutorial, so make sure u follow me here on GitHub and also on my instagram

Credits: https://www.geeksforgeeks.org/

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