SadeghShabestani / image_processing

Repository for Python scripts related to image processing tasks. Includes various scripts for image manipulation, filtering, transformation, and analysis using libraries such as OpenCV and NumPy. Explore different techniques for processing and enhancing images programmatically.

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Breadcrumbs - Image Processing Exercises

Welcome to the Breadcrumbs repository! This repository contains a series of exercises and projects related to image processing. Each exercise is designed to help you learn and practice various image processing techniques using Python and OpenCV.

Table of Contents

Introduction

Image processing is a fundamental part of computer vision and plays a crucial role in various applications such as medical imaging, robotics, surveillance, and more. This repository aims to provide hands-on exercises to enhance your understanding of image processing algorithms, techniques, and libraries.

Directory Structure

The directory structure of this repository is organized as follows:

Exercises

Each exercise directory contains input images, Python scripts, and output directories. The Python scripts demonstrate various image processing techniques and algorithms, along with explanations and comments for better understanding. The output directories contain the resulting images after applying the processing techniques.

Getting Started

To get started with the exercises:

  1. Clone this repository to your local machine:

    git clone https://github.com/your-username/Breadcrumbs.git
  2. Navigate to the desired exercise directory:

    cd Breadcrumbs/image_processing/Assignment-32/exercise-name/
  3. Run the Python script to see the output:

    python script_name.py

Contributing

Contributions to this repository are welcome! If you have any suggestions, improvements, or additional exercises, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

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Repository for Python scripts related to image processing tasks. Includes various scripts for image manipulation, filtering, transformation, and analysis using libraries such as OpenCV and NumPy. Explore different techniques for processing and enhancing images programmatically.


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