Sameer

Series

Image Processing

This series completely deals with my work related to Image Processing and Image Operations where I try to understand the inner working of the algorithm that the library method is trying to do.

Articles in this series

Image Flipping and Mirroring with NumPy and OpenCV

In this blog article, I will explain how we can mirror or flip an image in Python. All it is required is understanding the basic mathematics behind various matrix operations and matrix manipulations. Credits of Cover Image - Photo by Michael Busch on...

Image Equalization (Contrast Enhancing) in Python

I have been practicing image processing for quite a little - manipulating the images (image matrices to be precise). In doing so, I got to explore the equalizing methods for images so as to enhance the contrast to a certain extent that the manipulate...

Binarization of Image using NumPy

In this article, we will learn how to binarize an image using NumPy, and of course, we will use OpenCV for reading the image both in grayscale and RGB. To understand what binary is — binary is something that is made of two things. In computer termino...

Adding a Border to the Image using NumPy

In this article, we will learn how to add/draw a border to the image. We use OpenCV to read the image. The rest of the part is handled by NumPy to code from scratch. We rely on it for the matrix operations that can be achieved with so much ease. Ther...

Inverting an Image using NumPy’s Broadcasting method

In this article, we will learn how to invert an image using NumPy. To get some gist of this, let’s we have two values 0 and 1. Here 0 represents Black and 1 represents White. When we apply inversion to these values, we get: 0 → inverted → 1 1 → inve...

Crop the Image Intuitively — NumPy

In this blog article, we will learn how to crop an image in Python using NumPy as an ideal library. When we talk about images, they are just matrices in 2D space. And of course, it depends on the image, if it is an RGB image then the size of the imag...