#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
using namespace cv;
/// Global variables
Mat src;
Mat warp_dst;
const char* remaptrackbarname="remapvalue";
const char* warprotatetrackbarname="warprotatevalue";
const char* warpscaletrackbarname="warpscalevalue";
const char* remap_window = "Remap demo";
const char* warprotate_window="warprotate demo";
const int remapmaxcount=4,warprotatemaxcount=360,warpscalemaxcount=10;
int remapvalue,warprotatevalue=180, warpscalevalue=10;
/// Function Headers
void update_map( void );
void remapcontrol(int,void*);
void warprotatecontrol(int,void*);
void warpaffinecontrol();
/**
* @function main
*/
int main( int argc, char** argv )
{
/// Load the image
src = imread("G:/Opencv_Practice/Image/contours.png", 1 );
///把原图变小一倍
resize(src,src,Size(0.5*src.cols,0.5*src.rows));
/// Create dst, map_x and map_y with the same size as src:
/// Create window
namedWindow( remap_window, CV_WINDOW_AUTOSIZE );
namedWindow(warprotate_window,CV_WINDOW_AUTOSIZE);
createTrackbar(remaptrackbarname,remap_window,&remapvalue,remapmaxcount,remapcontrol);
createTrackbar(warprotatetrackbarname,warprotate_window,&warprotatevalue,warprotatemaxcount,warprotatecontrol);
createTrackbar(warpscaletrackbarname,warprotate_window,&warpscalevalue,warpscalemaxcount,warprotatecontrol);
remapcontrol(0,0);
warpaffinecontrol();
warprotatecontrol(0,0);
waitKey();
return 0;
}
/**
* @function update_map
* @brief Fill the map_x and map_y matrices with 4 types of mappings
*/
void remapcontrol(int,void*)
{
Mat dst, map_x, map_y;
dst.create( src.size(), src.type() );
map_x.create( src.size(), CV_32FC1 );
map_y.create( src.size(), CV_32FC1 );
for( int j = 0; j < src.rows; j++ )
{ for( int i = 0; i < src.cols; i++ )
{
switch( remapvalue )
{
case 0:
map_x.at<float>(j,i) = i ;/<float>
map_y.at<float>(j,i) = j ;/<float>
break;
case 1:
if( i > src.cols*0.25 && i < src.cols*0.75 && j > src.rows*0.25 && j < src.rows*0.75 )
{
map_x.at<float>(j,i) = 2*( i - src.cols*0.25 ) + 0.5 ;/<float>
map_y.at<float>(j,i) = 2*( j - src.rows*0.25 ) + 0.5 ;/<float>
}
else
{ map_x.at<float>(j,i) = 0 ;/<float>
map_y.at<float>(j,i) = 0 ;/<float>
}
break;
case 2:
map_x.at<float>(j,i) = i ;/<float>
map_y.at<float>(j,i) = src.rows - j ;/<float>
break;
case 3:
map_x.at<float>(j,i) = src.cols - i ;/<float>
map_y.at<float>(j,i) = j ;/<float>
break;
case 4:
map_x.at<float>(j,i) = src.cols - i ;/<float>
map_y.at<float>(j,i) = src.rows - j ;/<float>
break;
} // end of switch
}
}
remap( src, dst, map_x, map_y, CV_INTER_LINEAR, BORDER_CONSTANT, Scalar(0,0, 0) );
/// Display results
imshow( remap_window, dst );
}
void warprotatecontrol(int,void*)
{
Mat warp_rotate_dst;
Mat rot_mat( 2, 3, CV_32FC1 );
Point center = Point( warp_dst.cols/2, warp_dst.rows/2 );
double angle =warprotatevalue-180;
double scale =double(warpscalevalue)/10;
printf("%f\\n",scale);
/// 通过上面的旋转细节信息求得旋转矩阵
rot_mat = getRotationMatrix2D( center, angle, scale );
/// 旋转已扭曲图像
warpAffine( warp_dst, warp_rotate_dst, rot_mat, warp_dst.size() );
imshow(warprotate_window,warp_rotate_dst);
}
void warpaffinecontrol()
{
Point2f srcTri[3];
Point2f dstTri[3];
Mat warp_mat( 2, 3, CV_32FC1 );
warp_dst = Mat::zeros( src.rows, src.cols, src.type() );
srcTri[0] = Point2f( 0,0 );
srcTri[1] = Point2f( src.cols - 1, 0 );
srcTri[2] = Point2f( 0, src.rows - 1 );
dstTri[0] = Point2f( src.cols*0.0, src.rows*0.33 );
dstTri[1] = Point2f( src.cols*0.85, src.rows*0.25 );
dstTri[2] = Point2f( src.cols*0.15, src.rows*0.7 );
warp_mat = getAffineTransform( srcTri, dstTri );
warpAffine( src, warp_dst, warp_mat, warp_dst.size() );
};
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