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Convert picture to outline drawing4/6/2024 The key here is the variance of the Gaussian function or sigma.Īs sigma increases, the image becomes more blurred. Blurring is done by applying a Gaussian filter to the inverted image. inverted_img = 255-gray_img Inverted Image 4. We can invert images simply by subtracting from 255, as grayscale images are 8 bit images or have a maximum of 256 tones. So our function will look like: import numpy as npdef grayscale(rgb): return np.dot(rgb, )Īpplying grayscale: gray_img = grayscale(start_img) Grayscaled Image 3. You can learn why this formula works right here. Numpy doesn’t have any in-built function for grayscaling, but we can easily convert the image using the formula. So this is a three channel image of size 196x160. You can see how Python sees this image with the shape attribute: start_img.shape(196, 160, 30) Load image import imageioimg=""start_img = imageio.imread(img) Initial image I will go with this image of Indian cricketer Virat Kohli: 1. Dodge blend the blurred and grayscale image.In this post, I talk about how to reduce an image into a ‘pencil’ outline. So we can perform a variety of matrix manipulations to get some very interesting results. I have always been fascinated by computer vision, and especially by its power to manipulate images.Īn image is basically an array of numbers to Python. By Rishav Agarwal How to turn any image into a pencil sketch with 10 lines of code Use basic computer vision and Python’s Numpy library
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