Linux calls OpenCV programming (i) __HTML5

Linux under OpenCV programming

Two methods of compiling and running OPENCV program in Linux environment

First method: Command line (methods using command-line arguments)

XX. C:GCC ' pkg-config--cflags--libs opencv '-o img_1 img_1.c xx. cpp:g++ ' pkg-config--cflags--libs opencv '-O imgshow imgshow.cpp

(where ' is not a single quotation mark in the English state, but a "'" symbol on a key on the keyboard "~")

The second method: using the CMake tool recommended by OPENCV

Step1: Create a new directory to store the relevant pictures in our code and program.

Step2: Add the file CMakeLists.txt required when the CMake tool is compiled.

STEP3: Let's Enter the command "CMake." Compile the current project.

1, Example 1

The code for IMG_1.C is as follows:

#include 
 
OpenCV C-language compilation command:

#gcc ' pkg-config--cflags--libs opencv '-O img_1 img_1.c


Program execution:

#./img_1 lena.jpg




Example 2

The code for Imgshow.cpp is as follows:

#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace CV;
using namespace std;
int main (int argc, char**argv)
{
 
Mat src=imread ("Lena.jpg", Cv_load_image_color); Namedwindow ("Hello"); Imshow ("Hello", SRC); cout<< "Press ' Q ' to quit ..." <<endl; while (1) {if (char (Waitkey (1)) = = ' Q ') break;} destroyallwindows (); return 0; }

OpenCV C-language compilation command:

#g + + ' pkg-config--cflags--libs opencv '-O imgshow imgshow.cpp

Program execution:

#./imgshow


Example 3

Grayscale of color image

The Test_1.cpp code is as follows:

#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace CV;
using namespace std;
int main (int argc,char **argv)
{
	Mat src=imread (argv[1));
	if (!src.data)
	{
		cout<< "image to load failure!" <<endl;
		return-1;
	}
	Namedwindow ("src");
	Imshow ("src", src);
	Mat DST;
	Cvtcolor (Src,dst,cv_bgr2gray);
	Namedwindow ("Gray");
	Imshow ("Gray", DST);
	cout<< "Press ' Q ' to quit ..." <<endl;
	while (1)
	{
		if (char (Waitkey (1)) = = ' Q ') break
			;
	Destroyallwindows ();
	return 0;
}
 
Perform:

#g + + ' pkg-config--cflags--libs opencv '-O test_1 test_1.cpp

#./test_1 lena.jpg


Example 4

The binary value of color image

The code for Test2.cpp is as follows:

#include <opencv2/opencv.hpp>
#include <iostream>
using namespace std;
using namespace CV;
int main (int argc,char **argv)
{
	Mat src=imread (argv[1));
	if (!src.data)
	{
		cout<< "image to load failure!" <<endl;
		return-1;
	}
	Namedwindow ("src");
	Imshow ("src", src);
	Mat DST;
	Cvtcolor (Src,dst,cv_bgr2gray);
	Namedwindow ("Gray");
	Imshow ("Gray", DST);
	Mat bin;
	Threshold (dst,bin,110,250,thresh_binary);
	Namedwindow ("bin");
	Imshow ("Bin", bin);
	cout<< "Press ' Q ' to quit ..." <<endl;
	while (1)
	{
		if (char (Waitkey (1)) = = ' Q ') break
			;
	Destroyallwindows ();
	return 0;
}
 
Implementation: (1) g++ ' pkg-config--cflags--libs opencv '-O test2 test2.cpp

(2)./test2 lena.jpg

The effect is shown in the following illustration