Image Processing — Basics for Beginners (Code + Concept ) : Part 1

5 min readJul 4, 2022

The majority of articles focus on concepts of image processing. In addition here we do small exercises to demonstrate the concepts. I am using Jupyter Notebook to write codes.

I will start out by briefly:

Introducing OpenCV
Introducing Python
Introducing Jupyter Notebook
How to setup Jupyter Notebook
Exercises with answers

Okay! Let’s take a quick look at the basic concepts before starting the practices

Introduction to OpenCV

OpenCV — Open Source Computer Vision Library. 

It is an open-source computer vision and machine learning software library. The library has more than 2500 optimized algorithms. These algorithms use to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, etc.

Introduction to Python

Python is an open-source programming language. It allows you to run applications and plugins from a wide variety of 3rd party sources (or even applications you develop yourself) on your server. It is cross-platform, and you can run it on a number of different operating systems, including Windows VPS Server.

Introduction to Jupyter Notebook 

The Jupyter Notebook is an open-source web application. It allows you to create and share documents that contain live code, equations, visualizations and narrative text. Use to data cleaning and transformation, numerical simulation, statistical modelling, data visualization, machine learning, etc.

How to setup Jupyter Notebook

Step 1: Installing Python in Windows

Step 2: Confirm that Python is installed

The simplest way to test for a Python installation on your Windows server is to open a command prompt and type python and press Enter. If Python is installed correctly, you can see an output similar to what is shown below.

Step 3: Installing Pip in Windows

Once you have confirmed that Python is installed correctly, we can proceed with installing Pip.

Download get-pip.py to a folder on your computer.
Open a command prompt and navigate to the folder containing the get-pip.py installer.
Run the following command: python get-pip.py

Step 4: Verify Installation and Check the Pip Version

We can now verify that Pip was installed correctly by opening a command prompt and entering the following command. pip -V

Step 5: Installing OpenCV library using pip command

After the installation of the Python and pip, we can directly install the OpenCV library and start using them. To install the library, we need to enter the given command in the terminal.

pip install opencv-python

Step 6: Installing matplotlib library using pip command

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. To install the matplotlib, we need to enter the given command in the terminal.

pip install matplotlib

Step 7: Installing Jupyter notebook using pip command

To install the Jupyter notebook using Python’s package manager, pip, we need to enter the given command in the terminal.

python -m pip install jupyter

Step 8: Run Jupyter notebook on Windows

To run the notebook, run the following command in the terminal.

python -m notebook