/image_matching

Image feature extraction using Herris and SIFT methods.

Primary LanguageC

SIFT

Table of Contents

Runing Project

  • You have to download OpenCV from this Documentation link
  • You can also follow the steps in this video

Description

Image feature extraction using Herris and SIFT methods.

Features

  • User can browse images from his pc to do image processing.
  • The project contains 3 tabs:
    • First Tab -> Contains Herris Feature Extraction.
    • Second Tab -> Contains SIFT "Scale Invariant Feature Transform".
    • Third Tab -> Contains Feature Matching Using SSD and Normalized Cross Correlation Methods.

Technology Used:

The Desktop Application is built using:

  • Qt6 Creator using C++.
  • OpenCV Library.

Project Demo

Task.3.Demo.mp4

Screenshots

Herris SIFT Feature Matching

Made by:

Name Section BN
Ahmed Emad 1 6
Mohammed Mostafa 1 47
Mohab Ghobashy 2 39
Magdy Nasr 2 15
Youssef Kadry 2 58
  • Course Name : Computer Vision .

Submitted to:

  • Prof. Ahmed M. Badawi & Eng. Peter Emad and Eng. Laila Abbas

All rights reserved © 2022 to Team 3 - Systems & Biomedical Engineering, Cairo University (Class 2024)