Digital image processing in OpenCV using Python

This repository shows usage of OpenCV Python package for digital image processing.

Setup

1. Create conda environment:

conda create --name digital-image-processing python==3.12

2. Change active environment:

conda activate digital-image-processing

3. Clone the repository:

git clone https://github.com/ackermannW/image-processing-CV    

4. Navigate to the repository and install pip packages from requirements.txt

pip install -r requirements.txt 

Contents

1. Basic image transformations
2. Image space filtering
3. Image filtering in frequency domain
4. Edge detection
5. Histogram and thresholding
6. Image segmentation
7. Classification and object detection

GPU setup

It is recommended to utilize GPU acceleration to speed up deep learning tasks. Instructions for CUDA cores can be here for Windows and here for Linux.