IMAGE LAP

Table of contents:

• Introduction
• Project Features
• Project Structure
• How to Run The Project
• Team

Introduction

This website provide the user to understand more about frequency components of images and how strong each component effects the images
First: The components

1. Magnitude
2. Phase

Second: The Functionality

1. Low Pass Filter: It provides the image components of frequencies lower than the user select
2. High Pass filter: It provides the image components of frequencies higher than the user select

Third: The Website Options:

* Circle selector
* Rectangle selector
* Delete to upload new Images
* Choose Selected
* choose outer part of the selected region

Project Features

1. INTERFACE
2. Rectangle LPF Option
3. Rectangle LHF Option
4. Circle LPF Option
5. Circle HPF Option

Project Structure

The Web Application is built using:

• Frontend:
  • HTML
  • CSS
  • JavaScript
  • Ajax
• Backend framework:
  • Flask (Python)

The Frontend main function to set the structure of the page and determine the indices of cropper and mange the user interface while the backend function is to do on images operations like resizing, applying Fourier transform, cutting, combining & reconstructing images.

main
├─ Notebooks
├─ static (JS & CSS files)
│  ├─  css
│  ├─  imgs
│  └─  js
├─ templates (HTML files)
├─ IMAGE.py (Back-End Class)
├─ PROCESSING.py (Back-End Class)
├─ app.py (Back-End Server)
└─ README.md

Run the Project

1. Install Python3 in your computer

Download it from www.python.org/downloads/

2. Install the following packages

pip install numpy

pip install Flask

pip install os

pip install jsonify

pip install opencv-python

3. Open Project Terminal & Run

pip install -r requirments.txt

4. Start Server by Running

python app.py

5. Visit http://127.0.0.1:5000

Team

First Semester - Biomedical Digital Signal Processing (SBE3110) class project created by:

Team Members' Names	Section	B.N.
Dina Hussam	1	28
Sama Mostafa	1	44
Mohamed Salah	2	19
Yousr Ashraf	2	54

Submitted to:

• Dr. Tamer Basha & Eng. Abdullah Darwish All rights reserved © 2023 to Team 2 - Systems & Biomedical Engineering, Cairo University (Class 2024)