double threshold( InputArray src, OutputArray dst, double thresh, double maxval, int type )

src and dst : 입출력 영상

thresh : 경계값

maxval : 변환 후의 1을 max_val로 변환

단, 아래의 threshold_type값에만 적용

CV_THRESH_BINARY

CV_THRESH_BINARY_INV

CV_THRESH_OTSU

type : 경계값 설정 방법

CV_THRESH_BINARY

CV_THRESH_BINARY_INV

CV_THRESH_TRUNC

CV_THRESH_TOZERO

CV_THRESH_TOZERO_INV

CV_THRESH_OTSU

#include<opencv\cv.h>
#include<opencv\highgui.h>

using namespace cv;
using namespace std;
int main()
{
 Mat image = imread("sistar.jpg",0);//CV_LOAD_IMAGE_GRAYSCALE=0, CV_LOAD_IMAGE_COLOR=1
 if(!image.data) return -1; //Check image
 
 Mat binary;
 threshold(image,binary,100,255,CV_THRESH_BINARY);

 imshow("binary",binary);
 waitKey(0); //Wait for keystroke
 return 0;

}

#include<opencv\cv.h>
#include<opencv\highgui.h>

using namespace cv;
using namespace std;
int main()
{
 Mat image = imread("sistar.jpg"); //Load image form disk
 if(!image.data) return -1; //Check image
 //Split the original image into three channels
 //channels[0],channels[1],channels[2]
 vector<Mat> channels;
 split(image,channels); //Partition image into three channel planes

 imshow("Red",channels[2]);
 imshow("Green",channels[1]);
 imshow("Blue",channels[0]);

 vector<Mat>channelslzm(3);
 //Changes the Red and Blue sites:
 channelslzm[0]=channels[2];
 channelslzm[1]=channels[1];
 channelslzm[2]=channels[0];
 Mat imagelzm;
 merge(channelslzm,imagelzm);
 imshow("Result",imagelzm);

 //Calculating the brightness according to the formula 0.299*R + 0.587*G + 0.114*B

 //(But, in fact, it's right to do woth cvtColor)
 Mat gray=0.299*channels[2]+0.587*channels[1]+0.114*channels[0];
 imshow("Gray",gray);
 waitKey(0); //Wait for keystroke
 return 0;

}