This Python project demonstrates the implementation of a document scanner using OpenCV, an open-source computer vision library. The program takes an input image containing a document, detects its contours, applies perspective transformation to obtain a top-down view, and finally applies local thresholding to enhance the document's readability.

• numpy: Numerical computing library for array manipulation.
• argparse: Command-line argument parsing.
• cv2 (OpenCV): Computer vision library for image processing.
• imutils: Convenience functions to make basic image processing operations simpler.

1. Run the script Cscanner.py.
2. Pass the input image path using the -i or --image argument.

python Cscanner.py --image <path_to_input_image>