README.md

Image-Segmentation

A web application that use python script for image segmentation Thresholding: Optimal thresholding, Otsu, and spectral thresholding global and local thresholding. Unsupervised segmentation using k-means, segmentation using region growing, agglomerative and mean shift method.

Table of Contents

• Built with
• Deployment
• Features
• Authors

Built with

Deployment

Install streamlit

  pip install streamlit

To start deployment

  streamlit run app.py

Features

Unsupervised segmentation using k-means

Segmentation using mean shifting

Global optimal Threshold

Local optimal Threshold

Local otsu Threshold

Spectral Threshold

Otsu global Threshold

Manual global Threshold

Manual local Threshold

region grwing

🔗 Authors

• Esraa Ali
  sec : 1 BN : 12

• Rawan Abdulhamid
  sec : 1 BN : 33

• Mostafa Mahmoud
  sec : 2 BN : 37

• Omar Mustafa
  sec : 2 BN : 5

• Yehia Said
  sec : 2 BN : 53

All rights reserved © 2023 to Team 9 - Systems & Biomedical Engineering, Cairo University (Class 2024)