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A beginner’s guide to image processing using NumPy

Since images can also be considered as made up of arrays, we can use NumPy for performing different image processing tasks as well from scratch. In this article, we will learn about the image processing tasks that can be performed only using NumPy.
numpy
Mostly we find the uses of NumPy in the problems where we are required to perform mathematical and logical operations on different sizes of arrays. Since images can also be considered as made up of arrays, we can use NumPy for performing different image processing tasks as well from scratch. In this article, we will learn about the image processing tasks that can be performed only using NumPy. This will be helpful for beginners to understand image processing from its very basics. The major operations to be performed using NumPy are listed below, which we will cover in this article. Table of contents Loading imageCropping imageColours separation Transformation  Grayscale conversion Image segmentation Let's start with importing libraries and loading a random imag
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Picture of Yugesh Verma
Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
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