https://github.com/nermeenkamal/image-processing-system
This Python application provides a graphical user interface (GUI) for performing various image processing operations. Users can upload, manipulate, and save images using a range of techniques, including grayscale conversion, binary conversion, histogram equalization, and more.
https://github.com/nermeenkamal/image-processing-system
matplotlib numpy opencv python tkinter
Last synced: 4 days ago
JSON representation
This Python application provides a graphical user interface (GUI) for performing various image processing operations. Users can upload, manipulate, and save images using a range of techniques, including grayscale conversion, binary conversion, histogram equalization, and more.
- Host: GitHub
- URL: https://github.com/nermeenkamal/image-processing-system
- Owner: NermeenKamal
- License: mit
- Created: 2024-12-22T18:36:21.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-22T18:47:09.000Z (about 1 year ago)
- Last Synced: 2025-02-20T06:19:03.967Z (12 months ago)
- Topics: matplotlib, numpy, opencv, python, tkinter
- Language: Python
- Homepage:
- Size: 12.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Image Processing Application
## Overview
This Python application provides a graphical user interface (GUI) for performing various image processing operations. Users can upload, manipulate, and save images using a range of techniques, including grayscale conversion, binary conversion, histogram equalization, and more.
## Features
- **Image Loading**: Load and display images from local storage.
- **Basic Image Operations**:
- Convert to grayscale
- Convert to binary
- Add or subtract brightness
- Complement and solarization
- Histogram equalization and stretching
- **Color Channel Manipulations**:
- Swap or eliminate RGB channels
- Display individual color channels
- **Arithmetic Operations on Images**:
- Add or subtract one image from another
- Multiply or divide pixel values
- **Save Processed Images**: Save the manipulated image to your computer.
## Technologies Used
- **Python Libraries**:
- `OpenCV` for image processing
- `Tkinter` for the GUI
- `NumPy` for numerical computations
- `Pillow` for image handling in the GUI
- `Matplotlib` for plotting histograms and color channels
## Installation
1. Clone the repository:
```bash
git clone https://github.com/your-username/image-processing-app.git
cd image-processing-app
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## How to Use
1. Run the application:
```bash
python app.py
```
2. Use the GUI to:
- Load an image using the "Read" button.
- Perform various operations by clicking the corresponding buttons (e.g., "Convert to Grayscale").
- Save the processed image using the "Save" button.
## Functionalities
### 1. Image Loading
- **`Read_image()`**: Allows users to select an image file to load into the application.
### 2. Image Display
- **`Show_image()`**: Displays the currently loaded image.
### 3. Image Processing Operations
- **`RGB_To_Grey()`**: Converts the image to grayscale.
- **`RGB_To_Binary()`**: Converts the image to binary format.
- **`Add()`**: Increases pixel brightness by 10.
- **`Sub()`**: Decreases pixel brightness by 10.
- **`Multiply()`**: Multiplies pixel values by 5.
- **`Division()`**: Divides pixel values by 5.
- **`Complement()`**: Computes the complement of the image.
- **`Solar()`**: Applies a solarization effect.
### 4. Color Manipulations
- **`swapRB()`, `swapRG()`, `swapBG()`**: Swaps specified RGB channels.
- **`eliminationR()`, `eliminationG()`, `eliminationB()`**: Eliminates specific RGB channels.
### 5. Histogram Operations
- **`Histo()`**: Displays the grayscale histogram.
- **`HistoEqualization()`**: Performs histogram equalization.
- **`HistoStretching()`**: Stretches the histogram to enhance contrast.
### 6. Image Arithmetic
- **`add_img()`**: Adds another image to the current image.
- **`sub_img()`**: Subtracts another image from the current image.
### 7. Reset and Save
- **`Reset()`**: Resets the image to its original state.
- **`Save()`**: Saves the current image to a specified location.
## File Structure
```
image-processing-app/
|-- app.py # Main application file
|-- README.md # Project documentation
|-- requirements.txt # List of dependencies
```
## Dependencies
- Python 3.6+
- OpenCV
- NumPy
- Tkinter (bundled with Python)
- Pillow
- Matplotlib
## Contributing
Contributions are welcome! Please fork this repository and submit a pull request with your improvements.
## License
This project is licensed under the MIT License. See the LICENSE file for details.
## Author
Nermeen Kamal
Faculty of Computer Science and Information Technology
Ahram Canadian University