OpenCV编程-OpenMP优化入门

本文主要是介绍OpenCV编程-OpenMP优化入门，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

找了个去雾源码，做了简单的优化：


IplImage *quw1(IplImage *src,int block,double w)
{//图像分别有三个颜色通道IplImage *dst1=NULL;IplImage *dst2=NULL;IplImage *dst3=NULL;IplImage *imgroi1;//dst1的ROIIplImage *imgroi2;//dst2的ROIIplImage *imgroi3;//dst3的ROIIplImage *roidark;//dark channel的ROIIplImage *dark_channel=NULL;//暗原色先验的指针IplImage *toushelv=NULL;//透射率//去雾算法运算后的三个通道IplImage *j1=NULL;IplImage *j2=NULL;IplImage *j3=NULL;//去雾后的图像,三通道合并成IplImage *dst=NULL;//源图像ROI位置以及大小CvRect ROI_rect;//分离的三个通道dst1=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1);dst2=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1);dst3=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1);//为各个ROI分配内存imgroi1=cvCreateImage(cvSize(block,block),IPL_DEPTH_8U,1);imgroi2=cvCreateImage(cvSize(block,block),IPL_DEPTH_8U,1);imgroi3=cvCreateImage(cvSize(block,block),IPL_DEPTH_8U,1);roidark=cvCreateImage(cvSize(block,block),IPL_DEPTH_8U,1);//为j1 j2 j3分配大小j1=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1);j2=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1);j3=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1);//为暗原色先验指针分配大小dark_channel=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1);//为透射率指针分配大小toushelv=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1);//dst分配大小dst=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,3);//将原彩色图像分离成三通道cvSplit(src,dst1,dst2,dst3,NULL);//求暗原色ROI_rect.width=block;ROI_rect.height=block;ROI_rect.x=0;ROI_rect.y=0;int i;int j;double min1=0;double max1=0;double min2=0;double max2=0;double min3=0;double max3=0;double min=0;CvScalar value;#pragma omp parallel forfor(i=0;i<src->width/block;i++){        for(j=0;j<src->height/block;j++){//分别计算三个通道内ROI的最小值cvSetImageROI(dst1,ROI_rect);cvCopy(dst1,imgroi1,NULL);cvMinMaxLoc(imgroi1,&min1,&max1,NULL,NULL);cvSetImageROI(dst2,ROI_rect);cvCopy(dst2,imgroi2,NULL);cvMinMaxLoc(imgroi2,&min2,&max2,NULL,NULL);cvSetImageROI(dst3,ROI_rect);cvCopy(dst3,imgroi3,NULL);cvMinMaxLoc(imgroi3,&min3,&max3,NULL,NULL);//求三个通道内最小值的最小值;if(min1<min2)min=min1;elsemin=min2;if(min>min3)min=min3;//min为这个ROI中暗原色value=cvScalar(min,min,min,min);//min放在value中;//min赋予dark_channel中相应的ROI;cvSetImageROI(dark_channel,ROI_rect);cvSet(roidark,value,NULL);cvCopy(roidark,dark_channel,NULL);//释放各个ROI;cvResetImageROI(dst1);cvResetImageROI(dst2);cvResetImageROI(dst3);cvResetImageROI(dark_channel);//转入下一个ROIROI_rect.x=block*i;ROI_rect.y=block*j;}}//保存暗原色先验的图像cvSaveImage("D:/dark_channel_prior.jpg",dark_channel);//利用得到的暗原色先验dark_channel_prior.jpg求大气光强double min_dark;double max_dark;CvPoint min_loc;CvPoint max_loc;//max_loc是暗原色先验最亮一小块的原坐标cvMinMaxLoc(dark_channel,&min_dark,&max_dark,&min_loc,&max_loc,NULL);//	cout<<max_loc.x<<" "<<max_loc.y<<endl;ROI_rect.x=max_loc.x;ROI_rect.y=max_loc.y;double A_dst1;//定义大气光成分的估计值double dst1_min;double A_dst2;double dst2_min;double A_dst3;double dst3_min;cvSetImageROI(dst1,ROI_rect);//按照论文方法求大气光强估计值cvCopy(dst1,imgroi1,NULL);cvMinMaxLoc(imgroi1,&dst1_min,&A_dst1,NULL,NULL);cvSetImageROI(dst2,ROI_rect);cvCopy(dst2,imgroi2,NULL);cvMinMaxLoc(imgroi2,&dst2_min,&A_dst2,NULL,NULL);cvSetImageROI(dst3,ROI_rect);cvCopy(dst3,imgroi3,NULL);cvMinMaxLoc(imgroi3,&dst3_min,&A_dst3,NULL,NULL);//	cout<<A_dst1<<" "<<A_dst2<<" "<<A_dst3<<endl;//这三值为大气光强度估计值//求透射率int k;int l;CvScalar m;CvScalar n;//暗原色先验各元素值
#pragma omp parallel forfor(k=0;k<src->height;k++){for(l=0;l<src->width;l++){m=cvGet2D(dark_channel,k,l);n=cvScalar(255-w*m.val[0]);//w目的是保留一部分的雾,使图像看起来真实些cvSet2D(toushelv,k,l,n);}}cvSaveImage("D:/toushelv.jpg",toushelv);//求无雾图像int p,q;double tx;double jj1,jj2,jj3;CvScalar ix,jx;
#pragma omp parallel forfor(p=0;p<src->height;p++){for(q=0;q<src->width;q++){tx=cvGetReal2D(toushelv,p,q);tx=tx/255;if(tx<0.1)tx=0.1;ix=cvGet2D(src,p,q);jj1=(ix.val[0]-A_dst1)/tx+A_dst1;//根据雾产生模型运算,还原出无雾图像jj2=(ix.val[1]-A_dst2)/tx+A_dst2;jj3=(ix.val[2]-A_dst3)/tx+A_dst3;jx=cvScalar(jj1,jj2,jj3,0.0);cvSet2D(dst,p,q,jx);}}cvSaveImage("3.jpg",dst);//释放指针cvReleaseImage(&dst1);cvReleaseImage(&dst2);cvReleaseImage(&dst3);cvReleaseImage(&imgroi1);cvReleaseImage(&imgroi2);cvReleaseImage(&imgroi3);cvReleaseImage(&roidark);cvReleaseImage(&dark_channel);cvReleaseImage(&toushelv);cvReleaseImage(&j1);cvReleaseImage(&j2);cvReleaseImage(&j3);return dst;
}

编译运行后：