Cartoonify an Image with OpenCV in Python

Cartoonify an Image with OpenCV in Python

OpenCV is a powerful tool for image processing and machine learning, as well as a popular platform for creating a wide variety of image-based projects. In this tutorial, we will learn how to use OpenCV to cartoonify an image in Python.

What We'll Need

• Python 3
• OpenCV
• Numpy

Step One: Select the Image

The first step is to select the image that we want to cartoonify. Any image can be used, however if it's too detailed or complicated, it may be difficult to achieve a good cartoon effect.

Step Two: Convert to Grayscale

Next, we will convert the image to grayscale. This will make it easier to identify the different features of the image, and make it easier to manipulate them.

Step Three: Blur It Out

Once we have our image in grayscale, we will blur it out. This will help to smoothen out any image details, making it easier to create our cartoon effect.

Step Four: Identify Edges

Our next step is to identify the edges of our image. To do this, we can use OpenCV's edge detection algorithms such as Canny or Sobel.

Step Five: Colorize the Edges

Once the edges are identified, we can then colorize them in our desired shade. This will give us the cartoon effect that we are looking for.

Step Six: Save the Result

Once we have achieved the desired cartoon effect, we can save the result by using OpenCV's imwrite() function.

Conclusion

In this tutorial, we have learned how to cartoonify an image with OpenCV in Python. OpenCV is a powerful platform for working with images, and can be used to create a variety of interesting projects.