| OpenCV 3.4.8 Open Source Computer Vision

The Core Functionality (core module)

Here you will learn the about the basic building blocks of the library. A must read and know for understanding how to manipulate the images on a pixel level.

- Mat - The Basic Image Container

  Compatibility: > OpenCV 2.0

  Author: Bernát Gábor

  You will learn how to store images in the memory and how to print out their content to the console.

- How to scan images, lookup tables and time measurement with OpenCV

  Compatibility: > OpenCV 2.0

  Author: Bernát Gábor

  You'll find out how to scan images (go through each of the image pixels) with OpenCV. Bonus: time measurement with OpenCV.

- Mask operations on matrices

  Languages: C++, Java, Python

  Compatibility: > OpenCV 2.0

  Author: Bernát Gábor

  You'll find out how to scan images with neighbor access and use the cv::filter2D function to apply kernel filters on images.

- Operations with images

  Languages: C++, Java, Python

  Compatibility: > OpenCV 2.0

  Reading/writing images from file, accessing pixels, primitive operations, visualizing images.

- Adding (blending) two images using OpenCV

  Languages: C++, Java, Python

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  We will learn how to blend two images!

- Changing the contrast and brightness of an image!

  Languages: C++, Java, Python

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  We will learn how to change our image appearance!

- Discrete Fourier Transform

  Languages: C++, Java, Python

  Compatibility: > OpenCV 2.0

  Author: Bernát Gábor

  You will see how and why use the Discrete Fourier transformation with OpenCV.

- File Input and Output using XML and YAML files

  Compatibility: > OpenCV 2.0

  Author: Bernát Gábor

  You will see how to use the cv::FileStorage data structure of OpenCV to write and read data to XML or YAML file format.

- Interoperability with OpenCV 1

  Compatibility: > OpenCV 2.0

  Author: Bernát Gábor

  Did you used OpenCV before its 2.0 version? Do you wanna know what happened with your library with 2.0? Don't you know how to convert your old OpenCV programs to the new C++ interface? Look here to shed light on all this questions.

- How to use the OpenCV parallel_for_ to parallelize your code

  Compatibility: >= OpenCV 2.4.3

  You will see how to use the OpenCV parallel_for_ to easily parallelize your code.