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OpenCV Essentials

You're reading from   OpenCV Essentials Acquire, process, and analyze visual content to build full-fledged imaging applications using OpenCV

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781783984244
Length 214 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (10) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Something We Look At – Graphical User Interfaces 3. First Things First – Image Processing 4. What's in the Image? Segmentation 5. Focusing on the Interesting 2D Features 6. Where's Wally? Object Detection 7. What Is He Doing? Motion 8. Advanced Topics Index

Conversion from RGB to other color spaces


The color of an image may also be modified by changing the color space. In OpenCV, six color models are available and it is possible to convert from one to another by using the cvtColor function.

Note

The default color format in OpenCV is often referred to as RGB but it is actually BGR (the channels are reversed).

The function void cvtColor(InputArray src, OutputArray dst, int code, int dstCn=0) has the input and output images as the first and second parameters. The third parameter is the color space conversion code and the last parameter is the number of channels in the output image; if this parameter is 0, the number of channels is obtained automatically from the input image.

The following color_channels example shows how to convert from RGB to HSV, Luv, Lab, YCrCb, and XYZ color spaces:

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"

using namespace cv;
using namespace std;

int main( ){
    Mat image, HSV, Luv, Lab,...
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