# Image Segmentation Using OpenCV

This project demonstrates basic image segmentation techniques using OpenCV in Python. It applies Otsu's thresholding method and performs basic image cleaning using erosion and dilation.

## Project Overview

The project performs the following steps:

1. **Grayscale Conversion**: Converts the image to grayscale.
2. **Thresholding**: Uses Otsu's method to threshold the image into binary (black and white) form.
3. **Image Cleaning**: Performs erosion and dilation to clean up the thresholded image.

## Prerequisites

Before running the project, make sure you have the following installed:

- Python 3.x
- OpenCV
- Numpy

You can install the required dependencies using `pip`:

```bash
pip install opencv-python numpy

How to Use

1. Place the image (e.g., apple.jpg) you want to segment in the same directory as the Python script.
2. Run the script:

python segmentation.py