I am a new of OpenCV4Android.I have a piece of code about OpenCV which written by C.I want to rewrite it in Android and use my cellphone to make it come ture.But some function I don't know why can't call ,for example cvSetImageROI();cvCopy();cvMinMaxLoc();cvSetImageROI();cvSet() etc.Who can teach me how to deal with it.
The whole code is blow
include<iostream.h>
#include<cv.h>
#include<highgui.h>
char tbarname1[] = "调节block";
//定义两个滑动条,用于调节参数
char tbarname2[] = "调节w";
//w是为了保留一部分的雾
int block=5;
int w1=80;
double w;
IplImage *src=NULL;
IplImage *dst=NULL;
//定义去雾函数如下
IplImage *quw(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ROI
IplImage *imgroi2;
//dst2的ROI
IplImage *imgroi3;
//dst3的ROI
IplImage *roidark;
//dark channel的ROI
IplImage *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;
for(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;
else
min=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ROI
ROI_rect.x=block*i;
ROI_rect.y=block*j;
}
}
//保存暗原色先验的图像
cvSaveImage("f:/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
for(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;
for(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("D:/removed_haze.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;
}
void on_trackbar1(int h)
{
dst=quw(src,block,w);
cvShowImage("目的图像",dst);
// cvWaitKey(0);
}
void on_trackbar2(int h)
{ w=(double)w1/100;
dst=quw(src,block,w);
cvShowImage("目的图像",dst);
// cvWaitKey(0);
}
//主函数如下
void main()
{
//打开图像
src=cvLoadImage("8.jpg",-1);
//创造窗口
cvNamedWindow("有雾图像",CV_WINDOW_AUTOSIZE);
cvShowImage("有雾图像",src);
cvNamedWindow("目的图像",CV_WINDOW_AUTOSIZE);
cvCreateTrackbar(tbarname1, "目的图像", &block, 15, on_trackbar1);
cvCreateTrackbar(tbarname2, "目的图像", &w1, 100, on_trackbar2);
cvWaitKey(0);
cvReleaseImage(&src);
cvReleaseImage(&dst);
}