图像旋转方法-优快云博客

转自：http://download.youkuaiyun.com/source/2642701

/* 程序名：rotate.c
功能：读入图像文件，做图像旋转转，然后显示图像在屏幕上
*/
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <cv.h>
#include <highgui.h>

void myRotate(IplImage *img, int x, int y, float degree,int center[2]);

int main(int argc, char *argv[])
{
IplImage* img = 0;
int height,width,step,channels;
uchar *data;
int center[2]={0,0};
argv[1]="d://a_base_1.jpg";
//请自己添加图像文件路径

img=cvLoadImage(argv[1],1);
if(!img)
{
printf("Could not load image file: %s/n",argv[1]);
exit(0);
}
// 获取图像信息
height = img->height;
width = img->width;
step = img->widthStep;
channels = img->nChannels;
data = (uchar *)img->imageData;
printf("Processing a %dx%d image with %d channels/n",height,width,channels);

// 创建窗口
cvNamedWindow("mainWin", CV_WINDOW_AUTOSIZE);
cvMoveWindow("mainWin", 100, 100);

center[0]=width/2;//这两句可以设置旋转中心的坐标
center[1]=height/2;

// 反转图像
myRotate(img,0,0,-1,center);
// 显示图像
cvShowImage("mainWin", img );
cvWaitKey(0);
cvReleaseImage(&img );
return 0;
}

void myRotate(IplImage *img, int x, int y, float degree,int center[2])
{

double angle = degree * CV_PI / 180.; // angle in radian
double a = sin(angle), b = cos(angle); // sine and cosine of angle
IplImage* imgSrc=cvCloneImage(img);
int w_src = imgSrc->width;
int h_src = imgSrc->height;

// Make w_dst and h_dst to fit the output image
//int w_dst = int(h_src * a + w_src * b);
//int h_dst = int(w_src * a + h_src * b);
//int w_dst = int(h_src * abs(a) + w_src * abs(b));
// int h_dst = int(w_src * abs(a) + h_src * abs(b));

// map matrix for WarpAffine, stored in statck array
double map[6];
CvMat map_matrix = cvMat(2, 3, CV_64FC1, map);

// Rotation center needed for cv2DRotationMatrix
CvPoint2D32f pt = cvPoint2D32f(center[0], center[1]);
cv2DRotationMatrix(pt, degree, 1.0, &map_matrix);

// otherwise you will get only part of the result
map[2] +=x;
map[5] +=y;

// We need a destination image
cvWarpAffine(
imgSrc,
img,
&map_matrix,
CV_INTER_LINEAR | CV_WARP_FILL_OUTLIERS,
cvScalarAll(0)
);
}

转自：http://www.cnblogs.com/HappyXie/archive/2011/03/02/1969434.html

//OpenCV 4 下的图像任意角度的旋转

//需要inter公司的OpenCV的支持.

//OpenCV 4下的图像任意角度的旋转
//待旋转的图像IplImage* Img_old
//返回的旋转后图像 IplImage* Img_tmp.
//旋转的角度,单位度.
//三种不同的方法.其中方法二没有完全测试,方法一可以满足大部分需要
//Vastsky - Nercita 2005 6 12
//vastsky_sun#126.com
IplImage * CCropMeasureView::FitRotate (IplImage* Img_old, double angle,int method)

{

IplImage* Img_tmp = NULL;

double anglerad = (CV_PI* (angle/180)) ;
int newheight =int (fabs(( sin(anglerad)*Img_old->width )) + fabs(( cos(anglerad)*Img_old->height )) );
int newwidth =int (fabs(( sin(anglerad)*Img_old->height)) + fabs(( cos(anglerad)*Img_old->width)) );

Img_tmp = cvCreateImage(cvSize(newwidth,newheight), IPL_DEPTH_8U, 3);
cvFillImage(Img_tmp,0);//目的图像使用扩展的大小

IplImage* dst = cvCloneImage( Img_old );//目的图像与原图像等大

float m[6];
CvMat M = cvMat( 2, 3, CV_32F, m );

if(1==method)
{
//方法一提取象素四边形，使用子象素精度

int w = Img_old->width;
int h = Img_old->height;

m[0] = (float)(cos(angle*CV_PI/180.));
m[1] = (float)(sin(angle*CV_PI/180.));
m[2] = w*0.5f;
m[3] = -m[1];
m[4] = m[0];
m[5] = h*0.5f;

cvGetQuadrangleSubPix( Img_old, dst, &M, 1, cvScalarAll(0));

cvGetQuadrangleSubPix( Img_old, Img_tmp, &M, CV_INTER_LINEAR, cvScalarAll(0));//+CV_WARP_FILL_OUTLIERS

//方法一提取象素四边形，使用子象素精度
}

if(2==method)
{
//方法二使用二维旋转的仿射变换矩阵存在问题要求输入和输出图像一样大旋转中心不对

CvPoint2D32f center;
center.x=float (Img_old->width/2.0+0.5);//float (Img_tmp->width/2.0+0.5);
center.y=float (Img_old->height/2.0+0.5);//float (Img_tmp->height/2.0+0.5);
cv2DRotationMatrix( center, angle,1, &M);

cvWarpAffine( Img_old, dst, &M,CV_INTER_LINEAR,cvScalarAll(0) );//小图
//小目标图像

//对图像进行扩展
// 只能一定角度以内不同象限的不同对待
int dx=int((newwidth -Img_old->width )/2+0.5);
int dy=int((newheight-Img_old->height)/2+0.5);

uchar* old_ptr,*temp_ptr;

for( int y=0 ; y<Img_old->height; y++) //为了不越界
{
for (int x=0 ; x< Img_old->width; x++)
{
old_ptr = &((uchar*)(Img_old->imageData + Img_old->widthStep*y))[(x)*3];
temp_ptr = &((uchar*)(Img_tmp->imageData + Img_tmp->widthStep*(y+dy)))[(x+dx)*3];
temp_ptr[0]=old_ptr[0]; //green
temp_ptr[1]=old_ptr[1]; //blue
temp_ptr[2]=old_ptr[2]; //Red
}
}

center.x=float (Img_tmp->width/2.0+0.5);
center.y=float (Img_tmp->height/2.0+0.5);
cv2DRotationMatrix( center, angle,1, &M);

IplImage* temp = cvCloneImage( Img_tmp );//生成输出图像
cvWarpAffine( Img_tmp, temp , &M,CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS,cvScalarAll(0) );//大图
Img_tmp=cvCloneImage( temp );

//问题
//cvWarpAffine( Img_tmp, Img_tmp, &M,CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS,cvScalarAll(0) );//大图

//方法二使用二维旋转的仿射变换矩阵
}

if(3==method)
{
//方法三透视变换
CvPoint2D32f src_point[4];
CvPoint2D32f dst_point[4];

src_point[0].x=0.0; src_point[0].y=0.0;
src_point[1].x=0.0; src_point[1].y=(float) Img_old->height;
src_point[2].x=(float) Img_old->width; src_point[2].y=(float) Img_old->height;
src_point[3].x=(float) Img_old->width; src_point[3].y=0.0;

dst_point[0].x=0;
dst_point[0].y=(float) fabs(( sin(anglerad)*Img_old->width ));

dst_point[1].x=(float) fabs(( sin(anglerad)*Img_old->height));
dst_point[1].y=(float) fabs(( sin(anglerad)*Img_old->width ))+(float) fabs(( cos(anglerad)*Img_old->height));

dst_point[2].x=(float) fabs(( sin(anglerad)*Img_old->height))+(float) fabs(( cos(anglerad)*Img_old->width));
dst_point[2].y=(float) fabs(( cos(anglerad)*Img_old->height));

dst_point[3].x=(float) fabs(( cos(anglerad)*Img_old->width));
dst_point[3].y=0;

float newm[9];
CvMat newM = cvMat( 3, 3, CV_32F, newm );
cvWarpPerspectiveQMatrix(src_point,dst_point,&newM);

cvWarpPerspective(Img_old,dst,&newM,CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, cvScalarAll(0) );
cvWarpPerspective(Img_old,Img_tmp,&newM,CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, cvScalarAll(0) );

//方法三透视变换
}

// cvNamedWindow( "dst_litter", 1 );
// cvShowImage( "dst_litter", dst );

// cvNamedWindow( "dst_big", 1 );
// cvShowImage( "dst_big", Img_tmp );

return Img_tmp;

}