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https://github.com/vskarleas/lanewatch

The course covers essential topics such as erosion, dilation, openings, closings, and convolutions, alongside in-depth filter analysis including median, average, Laplacian, and Nagao filters. Practical work focuses on real-world applications like detecting lane markings and tracking vehicles using C++ and OpenCV.
https://github.com/vskarleas/lanewatch

computer-vision cpp lane-detection opencv vehicle-detection

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The course covers essential topics such as erosion, dilation, openings, closings, and convolutions, alongside in-depth filter analysis including median, average, Laplacian, and Nagao filters. Practical work focuses on real-world applications like detecting lane markings and tracking vehicles using C++ and OpenCV.

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README

          

# LaneWatch

[English](#english) | [Français](#français)

## Authors

* Rami Aridi
* Vasileios Filippos Skarleas

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# Français

## Sujets abordés :
- Érosion et Dilatation
- Ouvertures et Fermetures
- Convolutions
- Analyse des filtres, y compris :
- Filtre Médian
- Filtre Moyen
- Filtre Laplacien
- Filtre Nagao
- Et plus encore...

## 🚗 Détection des marquages ​​au sol et suivi des véhicules avec C++ et OpenCV 🚗

Pour en savoir plus sur ce projet particulier, consultez le dossier TP2 ou visitez le lien [https://github.com/vskarleas/ROB4-S7-Image_processing/tree/main/TP2](https://github.com/vskarleas/ROB4-S7-Image_processing/tree/main/TP2).

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# English

## Topics Covered:
- Erosion and Dilation
- Openings and Closings
- Convolutions
- Filter Analysis, including:
- Median Filter
- Average (Moyen) Filter
- Laplacian Filter
- Nagao Filter
- And more...

## 🚗 Detecting Lane Markings and Tracking Vehicles with C++ and OpenCV 🚗

Find out more on this particular project at the folder TP2 or you can visit the link [https://github.com/vskarleas/ROB4-S7-Image_processing/tree/main/TP2](https://github.com/vskarleas/ROB4-S7-Image_processing/tree/main/TP2)

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### License Information

LaneWatch © 2024 by Vasileios Filippos Skarleas and Rami Aridi is licensed under the [Creative Commons Attribution-NonCommercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/).

This work also includes content that is not the property of the authros and is subject to copyright and other licenses from their respective owners.