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OpenCV
3.4.12
Open Source Computer Vision
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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
Languages: C++
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
Languages: C++
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.
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.
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!
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
Languages: C++, Python
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
Languages: C++
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
Languages: C++
Compatibility: >= OpenCV 2.4.3
You will see how to use the OpenCV parallel_for_ to easily parallelize your code.