Posts tagged Windows
In the previous blog, we used OpenCV to divide an image into multiple blocks of a certain height and width, which is useful when we need to apply a certain image transformation block-wise. This blog will provide an alternative implementation using the Windows API, specifically the GDI+ library.
Often you will need to divide an image into multiple blocks of a certain height and width to apply a certain transformation or would like to compare two images block-wise. This blog will provide a short explanation and a C++ implementation for how to divide an image into multiple blocks with custom height and width.
To follow up on my last two blogs (Capturing the screen on Windows in C++ using OpenCV & Capturing the screen on Windows in C++ using GDI+ ), we compare in this post both approaches. In order to compare both approaches, we examines their run-times and CPU usages.
GDI+/ Gdiplus is part of the Win32 API, that helps C/C++ programmers with graphics related tasks on Windows. In this blog, we will be writing a simple algorithm to capture the content of the screen on Windows using Gdiplus in C++.
OpenCV is just a great computer vision tool with a wide variety of capabilities, that is available in both C++ and Python. In this first blog about OpenCV, I will be introducing a simple algorithm to capture the content of the screen on Windows using OpenCV in C++.