SimulFCImage
Multispectral Image Viewer
A professional project developed for ImViA Laboratory (Dijon) during my final year of Bachelor's degree in Computer Science
Project Overview
SimulFCImage was developed as part of a professional project for the ImViA Laboratory in Dijon. As the project leader and communication manager in a team of four students, I coordinated the development of this Python application that manipulates multispectral images. This project, completed during my third year of Bachelor's in Computer Science at IUT Dijon, demonstrates our ability to deliver professional-grade software meeting real industry needs.
Project Details
- Project Leader, Communication Manager & Developer
- Professional Project, 3rd Year BUT Informatique
- ImViA Laboratory, Dijon
Technical Details
Understanding Multispectral Images
What is a Multispectral Image?
A multispectral image consists of several bands, each capturing light at different wavelengths. Unlike regular RGB images that only capture visible light, multispectral images can capture information beyond human vision, including infrared and ultraviolet wavelengths.
Understanding Bands
Each band in a multispectral image represents the intensity of light at a specific wavelength. For example, a single band might show how strongly a scene reflects light at 550nm (green light). These bands can be combined in various ways to reveal different aspects of the captured scene.
Example of a single spectral band (grayscale representation)
Interface Overview
User-Friendly Design
The application features an intuitive interface that allows users to:
- Import multispectral images easily
- Navigate through different bands
- Select simulation methods
- Visualize and save results
SimulFCImage main interface with band navigation and simulation options
Simulation Methods
True Color Generation
Input Bands
203 Input Bands
Generated Result
Our Method
Original RGB
Reference Image
Generates natural color representation as seen by human eyes
False Color Generation
Custom RGB band selection for specialized visualization where the user can choose the bands to be displayed, in this case, the red is assigned to the 167th band, the green to the 32th band and the blue to the 86th band
Bee Vision Simulation
Simulates how bees perceive multispectral images
Project Architecture
S5_C1_LaBabaTcheam
├─Exceptions
├─HMI
│ ├─assets
│ ├─MainWindow.py
│ └─SimulationChoiceWindow.py
├─LogicLayer
│ ├─Factory
│ └─SimulatorFactory.py
├─Storage
└─UnitTests