NamNguyen511/MultiTasking_ImageProcessing

This project is a Python-based image processing application using PyQt5 and OpenCV. It allows users to perform various image processing tasks such as color adjustments, morphological operations and more.

Image MutilTask Processing Application

Welcome to the Image Multitask Processing Application! This project is a Python-based image processing application using PyQt5 and OpenCV. It allows users to perform various image processing tasks such as color adjustments, morphological operations and more.

Table of Contents

• Features
• Installation
• Usage
• Contributing
• Future Implementation
• License

Features

• Load and Save Images: Easily load images from a computer and save the processes in various formats.

• Color Adjustments:

  • Adjust Hue and Saturation of an image
  • Balance the Red, Blue, and Green.

• Morphological Operations:

  • Apply different filters such as Rectangle, Ellipse, and Cross to perform operations such as Dilation, Erosion, Open, Closing, and Gradient, etc.

• Image Rotation: Rotate images at any angle with automatic cropping to remove black borders.

• Image Histogram: View the color histogram of the processed image.

Installation

Prerequisites

• Python 3.x
• PyQt5
• OpenCV
• Matplotlib

Clone the Repo

git clone https://github.com/yourusername/image_mutiltask-processing.git
cd image-multitask_processing

Install Dependencies

pip install -r requirements.txt

Usage

Running the application

To start the application, run the main.py file:

python main.py

Using the application

1. Loading an Image: Use the "Load Image" button to load an image from your computer
2. Saving an Image: After processing, you can save the image using the "Save" option in the "File" menu.
3. Color Adjustments:
   • Adjust the Hue and Saturation using the sliders in the "Color Adjustments" section.
   • Modify the Red, Green, and Blue balance to enhance the image colors.
4. Morphological Filters:
   • Select the desired filter shape and type from the dropdown menus.
   • Click "Apply Filter" to show the result.
5. Rotate Image: Enter the angle of rotation and click "Rotate" to rotate an image.
6. View Histogram: Select "Show Histogram" from the "Image" menu to view the color distribution.

Contributing

Contributions are welcome! Here's how you can help:

1. Fork the repo: Click the "Fork" button at the top-right corner of this page.
2. Clone your fork: Clone your forked repo to your local machine.
3. Create a branch: Create a new branch for your feature or bug fix.

    git checkout -b feature/your-feature-name

4. Make changes: Make your changes to the codebase.
5. Commit your changes: Commit your changes with a meaningful commit message.

    git commit -m "Add new feature: your feature name"

6. Push you changes: Push your changes to your forked repo

    git push origin feature/your-feature-name

7. Create pull request: Open a pull request to the main repo. Provide a clear description of the changes you made.

Future implementations:

• Batch Processing: Allow users to apply operations to multiple images simutaneously.
• Advanced Filters: Implement filters like Gaussian Blur, Median Blur, and more.
• Machine Learning Integration: Add features like object detection, image classification, or style transfer using pre-trained models.
• Localization: Support multiple languages for a wider audience.
• Plugin System: Allow third-party developers to add new filters and features as plugins.

License

This project is licensed under the MIT License.