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The Image Automatic Cropping Watcher is a tool designed to automatically detect PDF files, convert them to images, perform automatic skew correction, and then recompile the corrected images back into a PDF file. This process is fully automated and can be used to enhance the quality of scanned documents or images with perspective distortion.

The main functionalities of the Image Automatic Cropping Watcher include:

1. PDF Detection: The application monitors a specified directory for incoming PDF files.

2. PDF to Image Conversion: Upon detecting a PDF file, the application converts each page of the PDF into an image.

3. Automatic Perspective Correction: The images extracted from the PDF are automatically processed to correct any perspective distortion or skew.

4. Compilation into PDF: Finally, the corrected images are compiled into a new PDF file, resulting in a document with improved image quality.

To utilize the Image Automatic Cropping Watcher:

1. Clone the Repository: Clone the repository to your local machine using the following command:

   git clone https://github.com/mohamedelareeg/ImageAutomaticCroppingWatcher.git

2. Build the Solution: Open the solution in Visual Studio or your preferred IDE and build it to compile the project.

3. Install Dependencies: Ensure that the necessary dependencies are installed and configured. This project relies on the following dependencies:

• iTextSharp: Used for handling PDF files and compilation of corrected images into a PDF.
• OpenCVSharp: Used for image processing tasks such as perspective correction and skew detection.
• Newtonsoft.Json: Used for JSON serialization and deserialization.

4. Run the Application: Start the application. It will begin monitoring the specified directory for incoming PDF files.

5. Monitor Process: Once a PDF file is detected, the application will automatically convert its pages to images, correct any perspective distortion, and compile the corrected images into a new PDF file.

The Image Automatic Cropping Watcher relies on the following dependencies:

• iTextSharp: Used for handling PDF files and compilation of corrected images into a PDF.
• OpenCVSharp: Used for image processing tasks such as perspective correction and skew detection.
• Newtonsoft.Json: Used for JSON serialization and deserialization.

Ensure that these dependencies are installed and properly configured in your development environment before running the application.

Contributions are welcome! If you'd like to contribute to the Image Automatic Cropping Watcher, feel free to open a pull request or submit an issue on the GitHub repository.

This project is licensed under the MIT License - see the LICENSE file for details.

• iTextSharp: For PDF handling functionality.
• OpenCVSharp: For image processing capabilities.
• Newtonsoft.Json: For JSON serialization and deserialization.