Introduction to OpenCV Tutorial



Introduction to OpenCV Tutorial

OpenCV OpenCV is released under a BSD license and hence its free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Some of the basic features of OpenCV are listed below: Sr.No 2 3 4 Image Pyramids OpenCV functions pyrUp and pyrDown to down sample or up sample a given image. 4 5 Adding borders to your images OpenCV function copyMakeBorder is used to set the borders (extra padding to your image). 7 Remapping In OpenCV, the function remap offers a simple remapping implementation. 8 Histogram Calculation For simple purposes, OpenCV implements the function calcHist, which calculates the histogram of a set of arrays (usually images or image planes). It can operate with up to 32 dimensions.

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