通过opencv实现图像的旋转、缩放-Toy模板网

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用opencv来实现图像的旋转与缩放，代码如下：

#include <iostream>
#include <opencv2/opencv.hpp>
using namespace cv;
//#include <opencv.hpp>

/*** (1). implementing Bilinear Interpolation ***/
bool BilinearInterpolation(
   IplImage* pSrcImg, //@pSrcImg : input gray image
   IplImage* &pDstImg, //@pDstImg : output scaled gray image
   float horScale = 1., //@horScale: transformation scale in horizontal direction
   float verScale = 1.) //@verScale: transformation scale in vertical direction
{
   if (!pSrcImg || horScale <= 0 || verScale <= 0)
       return false;

   /*** YOUR CODE HERE ***///50pts
   int src_width = pSrcImg->width;
   int src_height = pSrcImg->height;
   float dst_width = src_width / horScale;
   float dst_height = src_height / verScale;
   pDstImg = cvCreateImage(cvSize(dst_width, dst_height), pSrcImg->depth, pSrcImg->nChannels);
   int src_step = pSrcImg->widthStep; //源存储图像一行字节数
   int dst_step = pDstImg->widthStep; //目标存储图像一行字节数
   unsigned char* src_data = (unsigned char*)pSrcImg->imageData; //源图像数据指针
   unsigned char* dst_data = (unsigned char*)pDstImg->imageData; //目标图像数据指针

int i, i1, j, j1;
double u, u1, v, v1;

for (int y = 0; y < dst_height; y++){

       float srcy1 = (float)(( y + 0.5 ) * verScale - 0.5); //对应原图像的每一个y1
       j = (int)srcy1;
       if (j == src_height){ //对应原图像的最后一个y2
           j1 = j;
       }
       else {
           j1 = j + 1;//对应原图像的每一个y2
       }
       v = double(srcy1) - j;
       v1 = 1.0f- v;

       for (int x = 0; x < dst_width; x++){
           float srcx1 = (float)(( x + 0.5 ) * horScale - 0.5); //对应原图像的每一个x1
           i = (int)srcx1;
           if (i == src_width){
               i1 = i; //对应原图像的最后一个x2
           }
       else {
               i1 = i + 1; //对应原图像的每一个x2
           }
           u = double(srcx1) - i;
           u1 = 1.0f - u;
           double result = 0;
           result = (u1 * v1) * src_data[j * src_step + i] + (u1 * v) * src_data[j1 * src_step + i] + (u * v1) * src_data[j * src_step + i1]+ (u * v) * src_data[j1 * src_step + i1] ;
           dst_data[y * dst_step + x] = (int)result;

}
}

return true;
}

/*** (2). implementing image Rotation ***/

bool ImageRotation(
   IplImage* pSrcImg, //@pSrcImg: input gray image
   IplImage*& pDstImg, //@pDstImg: output rotated gray image
   float angle = 45) //@angle : rotated angle
{
   if (!pSrcImg || angle < 0 || angle >= 360)
       return false;

   /*** YOUR CODE HERE ***///50pts
   angle = -angle;
   double radian = (float)(angle / 180.0 * CV_PI);
   double a = sin(radian), b = cos(radian);
   int width = pSrcImg->width;
   int height = pSrcImg->height;
   int width_rotate = int(height * fabs(a) + width * fabs(b));
   int height_rotate = int(width * fabs(a) + height * fabs(b));
   //旋转数组map
   float map[6];
   Mat map_matrix = Mat(2, 3, CV_32F, map);
   // 旋转中心
   CvPoint2D32f center = cvPoint2D32f(width / 2, height / 2);
   CvMat map_matrix2 = map_matrix;
   cv2DRotationMatrix(center, angle, 1.0, &map_matrix2);
   map[2] += (width_rotate - width) / 2;
   map[5] += (height_rotate - height) / 2;
   Mat DstImg;
   //对图像做仿射变换
   Mat SrcImg = cvarrToMat(pSrcImg);
   warpAffine(SrcImg, DstImg, map_matrix, Size(width_rotate, height_rotate),1,0,0);
   pDstImg = cvCloneImage(&IplImage(DstImg));
}
void main()
{
   IplImage* pSrcImg = cvLoadImage("bicycle.bmp", 0);
   IplImage* pDstImg = NULL;

cvNamedWindow("src");
cvShowImage("src", pSrcImg);

   //*** Demo of bilinear interpolation ***/
   BilinearInterpolation(pSrcImg, pDstImg, 0.5, 0.5);
   cvNamedWindow("scaleing");
   cvShowImage("scaleing", pDstImg);
   cvSaveImage("Bilinear.jpg", pDstImg);
cvWaitKey(0);
   cvReleaseImage(&pDstImg);
   pDstImg = NULL;
   /*** Demo of image rotation ***/
   ImageRotation(pSrcImg, pDstImg, 60);
   cvNamedWindow("rotation");
   cvShowImage("rotation", pDstImg);
   cvSaveImage("Rotation.jpg", pDstImg);
cvWaitKey(0);

   cvReleaseImage(&pSrcImg);
   cvReleaseImage(&pDstImg);
   cvDestroyAllWindows();
   return;

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