guiipedroso / OpenCV

Studying OpenCV

OpenCV Projects with C++

This repository contains a collection of projects developed in C++ using the OpenCV library for image and video processing. Each project addresses different aspects and functionalities of the OpenCV library.

Projects

1. Alter Colors

   • Description: This project allows dynamically altering the colors of an image, providing an easy and efficient way to experiment with different color schemes.

2. Capture Video

   • Description: Capture Video is an application that utilizes the OpenCV API to capture video from an external source, such as a camera connected to the system, enabling real-time processing or recording for later use.

3. License Plate Detection

   • Description: This project aims at automatic detection of vehicle license plates in images or videos using advanced image processing algorithms, making it useful for surveillance and security applications.

4. Colors Detection

   • Description: Colors Detection is an application that uses computer vision techniques to detect specific colors in an image, enabling precise identification and segmentation of objects based on their colors.

5. Detection Forms

   • Description: Detection Forms is a project focused on detecting and recognizing geometric shapes in images, providing a solid foundation for image analysis and computer vision applications.

6. Detection Faces

   • Description: Detection Faces is a powerful application that utilizes facial recognition algorithms to detect and recognize faces in images or videos, opening up possibilities for a wide range of applications, such as security and entertainment.

7. Dimensions and Cut Images

   • Description: This project allows obtaining precise dimensions of objects in images and performing cuts based on these dimensions, providing a useful tool for image processing and data analysis applications.

8. Forms

   • Description: Forms is an application that offers advanced functionalities for manipulation and processing of geometric shapes in images, including operations like rotation, scaling, and perspective transformations.

9. Lena - Example

   • Description: Lena - Example is a simple project demonstrating the use of the famous "Lena" image as an example input for image processing algorithms, widely used in the computer vision community.

10. Perspective

    • Description: Perspective is a project that explores advanced techniques for perspective manipulation in images, allowing distortion corrections and transformations that can be useful in a variety of applications, such as photography and cartography.

11. Street Plates

    • Description: Street Plates is an application specialized in the detection and recognition of street plates in images or videos captured in urban environments, providing a robust solution for traffic monitoring systems and road safety.

12. Text Image

    • Description: Text Image is a tool developed for text manipulation in images, allowing extraction, recognition, and editing of text in various applications, such as OCR (Optical Character Recognition) and document processing.

13. Testing WebCam with OpenCV

    • Description: Testing WebCam with OpenCV is a simple project to test the functionality of the webcam using the OpenCV library, providing a quick and easy way to verify if the camera is working correctly on the system.

Requirements

• OpenCV 4.x
• CMake (optional)

Compilation and Execution

To compile and execute any of the projects, follow these steps:

1. Make sure you have OpenCV 4.x installed on your system.
2. Clone this repository to your local machine.
3. Navigate to the directory of the project you want to compile.
4. Run the following commands in the terminal:

mkdir build
cd build
cmake ..
make

5. After compilation, you can run the project using the generated executable.

./executable_name

Contributions

Contributions are welcome! If you wish to add new features, fix issues, or improve documentation, feel free to open an issue or submit a pull request.