Image Segmentation using KMeans and Mean Shift Clustering

This project demonstrates image segmentation using KMeans and Mean Shift Clustering. It segments the image into distinct regions and highlights the segmented areas by drawing boundaries around them.

Features

• KMeans Clustering: Segments the image based on pixel color values.
• Mean Shift Clustering: Automatically determines the number of cluster for segmentation.
• Contour Detection: Draws boundaries around segmented regions for better visualization.

Outputs

Requirements

• Python 3.x
• Libraries:
  • 'numpy'
  • 'pandas'
  • 'opencv'
  • 'scikit-learn'
  • 'scikit-image'
  • 'matplotlib'

Install the dependancies using pip:

pip install numpy pandas opencv-python scikit-learn seaborn matplotlib scikit-image

To run the script:

python segmentation_script.py