/Image-matching

A web application that use python script for image processing such as Extract the unique features in all images using Harris operator and λ-, Generate feature descriptors using scale invariant features(SIFT) and Match the image set features using sum of squared differences (SSD) and normalized cross correlations (NCC).

Primary LanguageJupyter Notebook

Image Matching

A web application that use python script for image processing such as Extract the unique features in all images using Harris operator and λ-, Generate feature descriptors using scale invariant features(SIFT) and Match the image set features using sum of squared differences (SSD) and normalized cross correlations (NCC).

Table of Contents

Built with

programming language Framework styling

Deployment

Install streamlit

  pip install streamlit

To start deployment

  streamlit run app.py

Features

Extract the unique feature using Harris operator

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Image matching

  1. Using sum of squared differences (SSD). main widow

  2. Using normalized cross correlations (NCC).

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Generate feature descriptors using scale invariant features(SIFT)

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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

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