Coin Detection Using Python OpenCV

This project demonstrates how to use Python and OpenCV to detect and count coins in an image. The detect_coins function processes an input image, detects circular objects that resemble coins, and displays the count on the image.

Features

• Convert images to grayscale for easier processing.
• Apply Gaussian blur to reduce noise.
• Use the Hough Circle Transform to detect circles (potential coins).
• Annotate detected coins on the image with circles and rectangles.
• Display the total coin count on the image.

Requirements

To run this script, ensure the following Python libraries are installed:

• OpenCV (cv2)
• NumPy (numpy)
• Matplotlib (matplotlib)

Install the dependencies using pip:

pip install opencv-python-headless numpy matplotlib

Usage

1. Save the detect_coins function in a Python script (e.g., coin_detector.py).
2. Replace the image_path with the path to your image.