OpenCV学习--saturate_cast防止数据溢出
2015-01-21 09:25
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源代码来源于官网的OpenCV教程,实现的功能比较简单最后自己动手用C语言实现了一下,貌似比库函数要快一点
[cpp] view
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#include "StdAfx.h"
#include "blending.h"
using namespace std;
using namespace cv;
void blending_test()
{
Mat src1, src2, dst;
double alpha = 0.5;
double beta = 1-alpha;
src1 = imread("LinuxLogo.jpg");
src2 = imread("WindowsLogo.jpg");
if(!src1.data) cout<<"error loading src1"<<endl;
if(!src2.data) cout<<"Error loading src2"<<endl;
addWeighted(src1, alpha, src2, beta, 0.0, dst);
imshow("output1", dst);
// waitKey(0);
}
//C语言自己实现
void blending()
{
Mat src1, src2, dst;
double alpha = 0.5;
double beta = 1-alpha;
double gama = 0;
src1 = imread("LinuxLogo.jpg");
src2 = imread("WindowsLogo.jpg");
//判断两幅图片是否相同
CV_Assert(src1.depth() == CV_8U);
CV_Assert(src1.depth() == src2.depth());
CV_Assert(src1.size() == src2.size());
//为dst申请内存
dst.create(src1.size(), src1.type());
const int nChannels = src1.channels();
if(!src1.data) cout<<"error loading src1"<<endl;
if(!src2.data) cout<<"Error loading src2"<<endl;
for (int i=0; i<src1.rows; i++)
{
const uchar* src1_ptr = src1.ptr<uchar>(i);
const uchar* src2_ptr = src2.ptr<uchar>(i);
uchar* dst_ptr = dst.ptr<uchar>(i);
for (int j=0; j<src1.cols*nChannels; j++)
{
dst_ptr[j] = src1_ptr[j]*alpha + src2_ptr[j]*beta + gama;
}
}
imshow("output2",dst);
// cvWaitKey(0);
}
//下面是main函数部分
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int main(int argc, char* argv[])
{
double t;
t = (double)getTickCount();
blending_test();
t = 1000*((double)getTickCount() - t)/getTickFrequency();
cout<<"库函数时间:"<<t<<endl;
t = (double)getTickCount();
blending();
t = 1000*((double)getTickCount() - t)/getTickFrequency();
cout<<"C语言实现:"<<t<<endl;
cvWaitKey(0);
return 0;
}
//下面是运行的结果
注意了自己实现的没有数据溢出保护,关于saturate_cast的用法会在下个文章中讲解
/article/8187831.html
[cpp] view
plaincopy
#include "StdAfx.h"
#include "blending.h"
using namespace std;
using namespace cv;
void blending_test()
{
Mat src1, src2, dst;
double alpha = 0.5;
double beta = 1-alpha;
src1 = imread("LinuxLogo.jpg");
src2 = imread("WindowsLogo.jpg");
if(!src1.data) cout<<"error loading src1"<<endl;
if(!src2.data) cout<<"Error loading src2"<<endl;
addWeighted(src1, alpha, src2, beta, 0.0, dst);
imshow("output1", dst);
// waitKey(0);
}
//C语言自己实现
void blending()
{
Mat src1, src2, dst;
double alpha = 0.5;
double beta = 1-alpha;
double gama = 0;
src1 = imread("LinuxLogo.jpg");
src2 = imread("WindowsLogo.jpg");
//判断两幅图片是否相同
CV_Assert(src1.depth() == CV_8U);
CV_Assert(src1.depth() == src2.depth());
CV_Assert(src1.size() == src2.size());
//为dst申请内存
dst.create(src1.size(), src1.type());
const int nChannels = src1.channels();
if(!src1.data) cout<<"error loading src1"<<endl;
if(!src2.data) cout<<"Error loading src2"<<endl;
for (int i=0; i<src1.rows; i++)
{
const uchar* src1_ptr = src1.ptr<uchar>(i);
const uchar* src2_ptr = src2.ptr<uchar>(i);
uchar* dst_ptr = dst.ptr<uchar>(i);
for (int j=0; j<src1.cols*nChannels; j++)
{
dst_ptr[j] = src1_ptr[j]*alpha + src2_ptr[j]*beta + gama;
}
}
imshow("output2",dst);
// cvWaitKey(0);
}
//下面是main函数部分
[cpp] view
plaincopy
int main(int argc, char* argv[])
{
double t;
t = (double)getTickCount();
blending_test();
t = 1000*((double)getTickCount() - t)/getTickFrequency();
cout<<"库函数时间:"<<t<<endl;
t = (double)getTickCount();
blending();
t = 1000*((double)getTickCount() - t)/getTickFrequency();
cout<<"C语言实现:"<<t<<endl;
cvWaitKey(0);
return 0;
}
//下面是运行的结果
注意了自己实现的没有数据溢出保护,关于saturate_cast的用法会在下个文章中讲解
/article/8187831.html
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