Version 2.2 of the opencv library has divided its library into modules.
These library modules have their own associated header files which is required therefore any code you see on the internet that looks like this:
#include "cv.h"
#include <cv.h> and so on
is done using the old style, C or C++. However after the restructuring of the opencv library into modules, not all functionality was ported to the new style:
#include <opencv2/core/core.hpp>
one example of such method is the LOGPOLAR transform.
Another thing to take note here is, the old deprecated IplImage is changed to the matrix cv::Mat. therefore you should avoid using such unless your using the old style.
For the Log-Polar Transform i will be using this header file:
#include <opencv2/imgproc/imgproc_c.h>
Also to make things easy, ive created a class to convert between cv::Mat and IplImage
So the Log-Polar Class is the following:
This Class uses the old style however by converting to and from cv::Mat to IplImage your main function can be written as the following
These library modules have their own associated header files which is required therefore any code you see on the internet that looks like this:
#include "cv.h"
#include <cv.h> and so on
is done using the old style, C or C++. However after the restructuring of the opencv library into modules, not all functionality was ported to the new style:
#include <opencv2/core/core.hpp>
one example of such method is the LOGPOLAR transform.
Another thing to take note here is, the old deprecated IplImage is changed to the matrix cv::Mat. therefore you should avoid using such unless your using the old style.
For the Log-Polar Transform i will be using this header file:
#include <opencv2/imgproc/imgproc_c.h>
Also to make things easy, ive created a class to convert between cv::Mat and IplImage
class atsoldtonew
{
public:
IplImage convertOld(cv::Mat MatImage)
{
IplImage img =MatImage;
return img;
}
cv::Mat convertNew(IplImage *iplImage)
{
cv::Mat imgMat(iplImage);
return imgMat;
}
private:
};
So the Log-Polar Class is the following:
class atslogPolar
{
public:
void convert(cv::Mat image)
{
IplImage src;
IplImage img =image;
IplImage* newsrc = &img;
IplImage* dst = cvCreateImage( cvGetSize(newsrc), 8, 3 );
IplImage* dst2 = cvCreateImage( cvGetSize(newsrc), 8, 3 );
cvLogPolar( newsrc, dst, cvPoint2D32f(image.size().width/2,image.size().height/2), 40,
CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS );
cvLogPolar( dst, dst2, cvPoint2D32f(image.size().width/2,image.size().height/2), 40,
CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS+CV_WARP_INVERSE_MAP );
newIm = dst;
newImage = dst2;
}
void view()
{
cvShowImage( "inverse log-polar", newIm );
cvShowImage( "reinverse log-polar", newImage );
}
IplImage* logpolar()
{
return newIm; //return the local variable
}
IplImage* Inverselogpolar()
{
return newImage; //return the local variable
}
private:
IplImage* newIm; //keep a local variable
IplImage* newImage; //keep a local variable
};
This Class uses the old style however by converting to and from cv::Mat to IplImage your main function can be written as the following
You can easily add the class to my previous Post code to add the new added functionality#include <iostream>int main()
#include <iomanip>
#include <sstream>
#include <string>
#include <vector>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
{
atscameraCapture mine; //initialize
for(;;)
{
cv::Mat image = mine.ats_getImage();
cv::imshow("image",image); //CAMERA IMAGE
atslogPolar pl;
pl.convert(image);
pl.view(); //show using the old style
atsoldtonew conv;
cv::imshow("image logpolar",conv.convertNew(pl.logpolar())); //show using the new style
if(cv::waitKey(30) >= 0) break;
}
return 0;
}
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