opencv 及halcon存圖的速度比較

執行平台：

visual 2015

opencv 3.1

halcon 12.0.2

圖檔：

用ink一眼的圖測試之

16384 * 300000 pixels

約 1.52 G 

結果：

Mat > iplimage > halcon

mat存圖比較快，大多在十三秒左右，有時候不知為什麼，會到十七秒將近二十秒；iplimage存圖次之，約十七秒左右，有時候會到廿一秒；halcon最慢，約在卅八秒左右，但速度好像都滿穩定的。

對了，經由這次的測試發現，imshow及image watch好像没法看1.52 G的圖，我猜它們只能顯示1 G以內的圖。

p.s. 没用VS 2008 加上opencv 2.3.1測試的原因，是因為opencv 2.3.1只能讀取 1 G的圖，ink這張太大，讀不進來，若要讀，考慮用imdecode這個函式，將標頭讀進來就好，然後宣告一個與圖一樣大的mat及iplimage去存，相關資料如下：

http://blog.csdn.net/tt_ren/article/details/53227900

http://windrocblog.sinaapp.com/?p=465

https://stackoverflow.com/questions/12114605/convert-a-byte-arry-to-opencv-image-in-c

以下附上2018.03.19測試的程式碼：

#include "stdafx.h"

#include "opencv2\opencv.hpp"

#include "HalconCpp\HalconCpp.h"

#include <windows.h>

#include <stdio.h>

#include <stdlib.h>

#include <time.h>

typedef struct

{

unsigned char *Src;

int Width;

int Height;

} ImageParam;

bool SaveImageUsingMat(ImageParam imgParam)

{

clock_t beginTime, endTime;

// method 1: Using Mat

try

{

beginTime = clock();

//cv::Mat tempImg = (cv::Mat(imgParam.Height, imgParam.Width, CV_8UC1, imgParam.Src).clone())(cv::Rect(0, 0, imgParam.Height, imgParam.Width));

cv::Mat Img_mat = cv::Mat(imgParam.Height, imgParam.Width, CV_8UC1, imgParam.Src).clone();

cv::imwrite("UsingMat.bmp", Img_mat.reshape(0, imgParam.Height));

Img_mat.release();

endTime = clock();

std::cout << "Speed of using cv::Mat to save image = " << endTime - beginTime << " ms" << std::endl;

return true;

}

catch (cv::Exception err)

{

std::cout << "When save image using mat have problem: " << err.what() << std::endl;

return false;

}

}

bool SaveImageUsingIplimage(ImageParam imgParam)

{

clock_t beginTime, endTime;

// method 2: Using IplImage

try

{

beginTime = clock();

IplImage *Img_iplimage;

Img_iplimage = ::cvCreateImageHeader(cvSize(imgParam.Width, imgParam.Height), IPL_DEPTH_8U, 1);

::cvSetData(Img_iplimage, imgParam.Src, imgParam.Width);

cvSaveImage("UsingIplimage.bmp", Img_iplimage);

cvReleaseImage(&Img_iplimage);

endTime = clock();

std::cout << "Speed of using IplImage to save image = " << endTime - beginTime << " ms" << std::endl;

return true;

}

catch (cv::Exception err)

{

std::cout << "When save image using iplimage have problem: " << err.what() << std::endl;

return false;

}

}

bool SaveImageUsingHalcon(ImageParam imgParam)

{

clock_t beginTime, endTime;

// method 3: Using Halcon HImage

try

{

beginTime = clock();

/*HalconCpp::HImage Img_halcon;*/

HalconCpp::HObject Img_halcon;

HalconCpp::GenImage1Extern(&Img_halcon, "byte", imgParam.Width, imgParam.Height, (__int64)(imgParam.Src), 0);

HalconCpp::WriteImage(Img_halcon, "bmp", 0, "UsingHalcon.bmp");

endTime = clock();

std::cout << "Speed of using Halcon, WriteImage to save image = " << endTime - beginTime << " ms" << std::endl;

return true;

}

catch (HalconCpp::HException err)

{

std::cout << "When save image using himage have problem: " << err.ErrorMessage() << std::endl;

return false;

}

}

int main(){

cv::Mat SrcImg;

SrcImg = cv::imread("D:\\Document\\program\\00.TestAndLearning\\Test\\TestSaveImageSpeedBetwnOpencvAndHalcon\\x64\\Debug\\left.bmp", 0);

// To simulate actual situation

ImageParam imgParam;

imgParam.Src = SrcImg.data;

imgParam.Height = SrcImg.rows;

imgParam.Width = SrcImg.cols;

SaveImageUsingMat(imgParam);

SaveImageUsingIplimage(imgParam);

SaveImageUsingHalcon(imgParam);

system("pause");

return 0;

}