作者:gnuhpc
出处:http://www.cnblogs.com/gnuhpc/
#include "cv.h" #include "highgui.h" #include <stdio.h> #include <stdlib.h> #include <omp.h> void EdgeOpenMP(IplImage *src,IplImage *dst,int thresh) { int height = src->height; int width = src->width; int step = src->widthStep; uchar *data1 = (uchar *)src->imageData; uchar *data2 = (uchar *)dst->imageData; int i=step; #pragma omp parallel for for(i=step+1;i<height*width;i++){ if(abs(data1[i]-data1[i-1])>thresh || abs(data1[i]-data1[i-step])>thresh) data2[i]=255;/* 对于单通道,前后两帧差分大于门限 或者对于多通道前后两帧的一个指标差分大于门限,则视为边缘*/ else data2[i]=0; } } void Edge(IplImage *src,IplImage *dst,int thresh) { int height = src->height; int width = src->width; int step = src->widthStep; uchar *data1 = (uchar *)src->imageData; uchar *data2 = (uchar *)dst->imageData; int i=step; for(i=step+1;i<height*width;i++){ if(abs(data1[i]-data1[i-1])>thresh || abs(data1[i]-data1[i-step])>thresh) data2[i]=255; else data2[i]=0; } } int main() { char filename[512]; IplImage *src,*edge1,*edge2; puts("File name:"); gets(filename); src = cvLoadImage(filename,CV_LOAD_IMAGE_GRAYSCALE ); edge1=cvCloneImage(src); edge2=cvCloneImage(src); cvNamedWindow("src", CV_WINDOW_AUTOSIZE); cvMoveWindow("src", 100, 100); cvShowImage( "src", src); cvNamedWindow("Edge", CV_WINDOW_AUTOSIZE); cvMoveWindow("Edge", 200, 100); cvNamedWindow("EdgeOpenMP", CV_WINDOW_AUTOSIZE); cvMoveWindow("EdgeOpenMP", 300, 100); /* 以上都是准备一些窗口和图形基本数据 */ int tekrar=100;//运行次数 int thresh=30; double start, end,t1, t2; /* 计算没有使用OpenMP优化的时间 */ start= (double)cvGetTickCount();//记下开始的时钟计数,以便计算函数或用户代码执行时间 for(int i=0;i<tekrar;i++) Edge(src,edge1,thresh); end= (double)cvGetTickCount();//记下结束的时钟计数 t1= (end-start)/((double)cvGetTickFrequency()*1000.);//计算运行时间,以毫秒为单位 printf( "Run time without OpenMP = %g ms/n", t1 ); /* 计算使用了OpenMP优化的时间 */ start= (double)cvGetTickCount(); for(int i=0;i<tekrar;i++) EdgeOpenMP(src,edge2,thresh); end= (double)cvGetTickCount(); t2= (end-start)/((double)cvGetTickFrequency()*1000.); printf( "Run time with OpenMP = %g ms/n", t2 ); printf( "Performance ratio (%%) = %% %.1f /n", 100*(t1/t2-1) ); cvShowImage( "Edge", edge1); cvShowImage( "EdgeOpenMP", edge2); cvWaitKey(); cvDestroyWindow("Edge"); cvDestroyWindow("EdgeOpenMP"); cvReleaseImage(&src); cvReleaseImage(&edge1); cvReleaseImage(&edge2); } 这是我的结果: File name: dog.jpg Run time without OpenMP = 647.627 ms Run time with OpenMP = 453.001 ms Performance ratio (%) = % 43.0
作者:gnuhpc
出处:http://www.cnblogs.com/gnuhpc/
作者:gnuhpc
出处:http://www.cnblogs.com/gnuhpc/
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