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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.

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Esraa-alii/Image-Segmentation

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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.

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Built with

programming language Framework styling

Deployment

Install streamlit

  pip install streamlit

To start deployment

  streamlit run app.py

Features

Unsupervised segmentation using k-means

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Segmentation using mean shifting

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Global optimal Threshold

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Local optimal Threshold

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Local otsu Threshold

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Spectral Threshold

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Otsu global Threshold

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Manual global Threshold

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Manual local Threshold

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region grwing

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🔗 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)

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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.

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