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代码,有参考别人的代码
// haha_mirror.cpp : 定义控制台应用程序的入口点。 // #include "stdafx.h" #include<iostream> #include "cv.h" #include "highgui.h" #include "math.h" #include "opencv2/core/core.hpp" #pragma comment(lib,"opencv_core2410d.lib") #pragma comment(lib,"opencv_highgui2410d.lib") #pragma comment(lib,"opencv_imgproc2410d.lib") #define DOWNRESIZE 0 // 缩小 #define UPRESIZE 1 // 放大 #define HORAO 2 // 水平外凹 #define HORTU 3 // 水平外凸 #define LADDER 4 // 梯形变形 #define TRIANGLE 5 // 三角形变形 #define SSHAPE 6 // S形变形 #define WAVESHAPE 7 // 波浪形变形 #define Concentrated 8 //集中形变形 #define Scattered 9 // 散开形变形 #define RANGE 100 // 水平外凹或外凸的幅度 #define PI 3.1415926 using namespace std; using namespace cv; void MaxFrame(IplImage* frame) { uchar* old_data = (uchar*)frame->imageData; uchar* new_data = new uchar[frame->widthStep * frame->height]; int center_X = frame->width / 2; int center_Y = frame->height / 2; int radius = 400; int newX = 0; int newY = 0; int real_radius = (int)(radius / 2.0); for (int i = 0; i < frame->width; i++) { for (int j = 0; j < frame->height; j++) { int tX = i - center_X; int tY = j - center_Y; int distance = (int)(tX * tX + tY * tY); if (distance < radius * radius) { newX = (int)((float)(tX) / 2.0); newY = (int)((float)(tY) / 2.0); newX = (int) (newX * (sqrt((double)distance) / real_radius)); newX = (int) (newX * (sqrt((double)distance) / real_radius)); newX = newX + center_X; newY = newY + center_Y; new_data[frame->widthStep * j + i * 3] = old_data[frame->widthStep * newY + newX * 3]; new_data[frame->widthStep * j + i * 3 + 1] =old_data[frame->widthStep * newY + newX * 3 + 1]; new_data[frame->widthStep * j + i * 3 + 2] =old_data[frame->widthStep * newY + newX * 3 + 2]; } else { new_data[frame->widthStep * j + i * 3] = old_data[frame->widthStep * j + i * 3]; new_data[frame->widthStep * j + i * 3 + 1] = old_data[frame->widthStep * j + i * 3 + 1]; new_data[frame->widthStep * j + i * 3 + 2] = old_data[frame->widthStep * j + i * 3 + 2]; } } } memcpy(old_data, new_data, sizeof(uchar) * frame->widthStep * frame->height); delete[] new_data; } void MinFrame(IplImage* frame) { uchar* old_data = (uchar*)frame->imageData; uchar* new_data = new uchar[frame->widthStep * frame->height]; int center_X = frame->width / 2; int center_Y = frame->height / 2; int radius = 0; double theta = 0; int newX = 0; int newY = 0; for (int i = 0; i < frame->width; i++) { for (int j = 0; j < frame->height; j++) { int tX = i - center_X; int tY = j - center_Y; theta = atan2((double)tY, (double)tX); radius = (int)sqrt((double)(tX * tX) + (double) (tY * tY)); int newR = (int)(sqrt((double)radius) * 12); newX = center_X + (int)(newR * cos(theta)); newY = center_Y + (int)(newR * sin(theta)); if (!(newX > 0 && newX < frame->width)) { newX = 0; } if (!(newY > 0 && newY < frame->height)) { newY = 0; } new_data[frame->widthStep * j + i * 3] = old_data[frame->widthStep * newY + newX * 3]; new_data[frame->widthStep * j + i * 3 + 1] =old_data[frame->widthStep * newY + newX * 3 + 1]; new_data[frame->widthStep * j + i * 3 + 2] =old_data[frame->widthStep * newY + newX * 3 + 2]; } } memcpy(old_data, new_data, sizeof(uchar) * frame->widthStep * frame->height); delete[] new_data; } // 哈哈镜制作 int main( int argc, char** argv ) { IplImage* pImg; //声明IplImage指针 IplImage* pImg1; //声明IplImage指针 int i,j; int method = 0; CvSize size; double tmp; method = 8; //method = HORAO; //载入图像 pImg = cvLoadImage( "lena.jpg", 1); cvNamedWindow( "Image", 1 );//创建窗口 cvShowImage( "Image", pImg );//显示图像 printf("imageSize: %d height: %d, width: %d, nChannels: %d\n", pImg->imageSize, pImg->height, pImg->width, pImg->nChannels); //MaxFrame(pImg); //MinFrame(pImg); switch(method) { // 图像缩小 case DOWNRESIZE: size = cvGetSize(pImg); size.width = (size.width>>3)<<2; // 在OpenCV里边,widthStep必须是4的倍数,从而实现字节对齐,有利于提高运算速度。 size.height = size.height>>1; pImg1 = cvCreateImage( size, IPL_DEPTH_8U, 1); printf("imageSize: %d height: %d, width: %d, nChannels: %d\n", pImg1->imageSize, pImg1->height, pImg1->width, pImg1->nChannels); for(i=0;i<pImg1->height;i++) for(j=0;j<pImg1->width;j++) { pImg1->imageData[i*pImg1->width+j] = pImg->imageData[i*2*pImg->width+j*2]; } break; // 图像放大 case UPRESIZE: /* 添加代码 */ break; // 水平外凹 case HORAO: pImg1 = cvCreateImage( cvGetSize(pImg), IPL_DEPTH_8U, 1); printf("imageSize: %d height: %d, width: %d, nChannels: %d\n", pImg1->imageSize, pImg1->height, pImg1->width, pImg1->nChannels); for(i=0;i<pImg1->height;i++) { tmp = RANGE*sin(i*PI/pImg1->height); for(j=tmp;j<pImg1->width-tmp;j++) { pImg1->imageData[i*pImg1->width+j] = pImg->imageData[i*pImg->width+(int)((j-tmp)*(pImg->width)/(pImg->width-2*tmp))]; } } break; // 水平外凸 case HORTU: /* 添加代码 */ break; // 梯形变形 case LADDER: /* 添加代码 */ break; // 三角形变形 case TRIANGLE: /* 添加代码 */ break; // S形变形 case SSHAPE: /* 添加代码 */ break; // 波浪形变形 case WAVESHAPE: /* 添加代码 */ break; case Concentrated: MaxFrame(pImg); break; case Scattered: MinFrame(pImg); break; default: printf("no method support\n"); break; } // 显示结果 cvNamedWindow( "Image1", 1 );//创建窗口 cvShowImage( "Image1", pImg );//显示图像 cvWaitKey(0); //等待按键 //销毁窗口 释放内存 cvDestroyWindow( "Image" );//销毁窗口 cvReleaseImage( &pImg ); //释放图像 cvDestroyWindow( "Image1" );//销毁窗口 cvReleaseImage( &pImg1 ); //释放图像 return 0; }
实现效果:
未完待续。。应该还有其他的算法,我再找找
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原文地址:http://blog.csdn.net/wangyaninglm/article/details/43902103