https://github.com/pirito10/reconocimientofrutas-fsi-uvigo
Image Analysis Tool project for the course "Fundamentos de Sonido e Imagen" in the Telecommunications Engineering Degree at the Universidad de Vigo (2021 - 2022))
https://github.com/pirito10/reconocimientofrutas-fsi-uvigo
image-analysis image-recognition matlab
Last synced: 3 months ago
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Image Analysis Tool project for the course "Fundamentos de Sonido e Imagen" in the Telecommunications Engineering Degree at the Universidad de Vigo (2021 - 2022))
- Host: GitHub
- URL: https://github.com/pirito10/reconocimientofrutas-fsi-uvigo
- Owner: Pirito10
- License: mit
- Created: 2025-02-08T17:33:02.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-02-08T17:34:37.000Z (4 months ago)
- Last Synced: 2025-02-08T18:29:20.463Z (4 months ago)
- Topics: image-analysis, image-recognition, matlab
- Language: MATLAB
- Homepage: https://teleco.uvigo.es/es/asignaturas/gett/fundamentos-de-son-e-imaxe-2/
- Size: 0 Bytes
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Reconocimiento de Frutas
*Reconocimiento de Frutas* is an **Image Analysis Tool** developed as part of the course "[Fundamentos de Sonido e Imagen](https://secretaria.uvigo.gal/docnet-nuevo/guia_docent/?centre=305&ensenyament=V05G301V01&assignatura=V05G301V01209&any_academic=2021_22)" in the Telecommunications Engineering Degree at the Universidad de Vigo (2021 - 2022).
## About The Project
This project implements a MATLAB-based system for fruit recognition in images by analyzing them, extracting its features, and classifying them into a category.
The project features:
- Automatic fruit recognition from images.
- Color enhancement to improve contrast and visibility.
- Binary mask generation to isolate the fruit from the background.
- Feature extraction using RGB color component analysis.
- Classification system based on procumputed prototypes.
- Confussion matrix evaluation for performance assessment.
## How To Run
### Requirements
Make sure you have [MATLAB](https://www.mathworks.com/products/matlab.html) installed on your system.
### Usage
1. Open MATLAB.
2. Navigate to the project's directory.
3. Run the following function:
```matlab
reconocimiento_frutas();
```
| Option | Description | Example |
|--------|-------------|---------|
| `file` | File to analyze | `F10.jpg` |
#### Example
```matlab
reconocimiento_frutas(images/F10.jpg);
```
## About The Code
Refer to [`Especificaciones.pdf`](docs/Especificaciones.pdf) and [`Memoria.pdf`](docs/Memoria.pdf) for an in-depth explanation of the project, how to run it, how the system and algorithm works, results and performace, and more.