Image Processing & Computer Vision Projects

This repository contains a collection of computer vision and image processing projects implemented using Python, OpenCV, and PyTorch.

📁 Project Structure

├── captcha_main.ipynb           # Main CAPTCHA processing pipeline
├── sample_captchas/             # Sample CAPTCHA images for testing
└── processed_captcha_images/    # Output folder for processed images

🚀 Features

CAPTCHA Detection & Processing

• Grayscale conversion
• Gaussian blur filtering
• Adaptive thresholding
• Morphological operations (opening/closing)
• Edge detection using Canny
• Line detection using Hough Transform
• Image segmentation and character extraction

📋 Requirements

All required packages are listed in requirements.txt. Install them using following command:

pip install -r requirements.txt

🛠️ Installation

1. Clone the repository:

git clone <your-repository-url>
cd project3

2. Install dependencies:

pip install -r requirements.txt

3. Run Jupyter Notebook:

jupyter notebook

💻 Usage

CAPTCHA Processing

1. Open captcha_main.ipynb
2. Place your CAPTCHA images in the sample_captchas/ folder
3. Run the cells sequentially to process the images

🔍 CAPTCHA Processing Pipeline

1. Load Images: Read CAPTCHA images from sample_captchas/ folder
2. Grayscale Conversion: Convert RGB images to grayscale
3. Border Addition: Add replicated borders to images
4. Thresholding: Apply Otsu's binarization
5. Morphological Operations: Remove noise using opening and closing
6. Edge Detection: Detect edges using Canny edge detector
7. Line Detection: Find lines using Hough Line Transform
8. Visualization: Display results using Matplotlib

📊 Technologies Used

• Python 3.x
• OpenCV: Image processing and computer vision
• NumPy: Numerical computations
• Matplotlib: Data visualization
• PyTorch: Deep learning framework
• Tkinter: GUI development
• imutils: Convenience functions for OpenCV

📝 Notes

• The project uses relative paths for image folders
• Processed images are saved in processed_captcha_images/ directory
• For driver drowsiness detection, ensure proper lighting conditions
• CAPTCHA processing works best with clear, high-contrast images

🤝 Contributing

Feel free to fork this repository and submit pull requests for any improvements.

📄 License

This project is open source and available under the MIT License.

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