Image Processing Application

This is a simple Python application built using Tkinter for GUI and OpenCV for image processing. It allows users to load an image, apply various filters, and save the processed image.

Features

• Load an image in various formats (JPG, PNG, BMP).
• Apply a range of filters to the loaded image:
  • Low Pass Filter
  • High-Pass Filter
  • Mean Filter
  • Median Filter
  • Roberts Edge Detector
  • Prewitt Edge Detector
  • Sobel Edge Detector
  • Erosion
  • Dilation
  • Opening
  • Closing
  • Hough Circle Transform
  • Region Split and Merge
  • Thresholding
• Save the processed image with a default filename format: {filter image} of {original name}.{format}.

Installation

1. Clone this repository to your local machine:

   git clone https://github.com/MemaroX/imageprocessing_final_project.git
   

2. Install the required Python packages :

   pip install -r requirements.txt
   

3. Clone this repository to your local machine:

   python main.py
   

Usage

Load Image: Click on the "Load Image" button to select an image file from your computer.

Apply Filter: Choose a filter from the list of available filters.

Adjust Parameters: If applicable, adjust the parameters using the slider.

Apply: Click on the "Apply" button to apply the selected filter.

Save Image: After applying the filter, click on the "Save Image" button to save the processed image.

Requirements

• Python 3.6 or higher
• OpenCV
• Tkinter
• NumPy

Contributing

Contributions are welcome! Feel free to open issues and pull requests