RGB转GRAY,并输出:
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main(int argc, char** argv) {
Mat src, dst, gray_src;
src = imread("E:/opencv/0/0.jpg");
if (!src.data) {
printf("could not load image...\n");
return -1;
}
int height = gray_src.rows;
int width = gray_src.cols;
cvtColor(src, gray_src, CV_BGR2GRAY);//RGB转灰度
for (int row = 0; row < height; row++) {//获取灰度图像的每一个像素值
for (int cols = 0; cols < width;) {
gray_src.at<uchar>(row, cols);
}
}
namedWindow("input image", CV_WINDOW_AUTOSIZE);
imshow("input image", src);
namedWindow("output", CV_WINDOW_AUTOSIZE);
imshow("output", gray_src);
waitKey(0);
return 0;
}
RGB转GRAY加上像素加减操作
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main(int argc, char** argv) {
Mat src, dst, gray_src;
src = imread("E:/opencv/0/0.jpg");
if (!src.data) {
printf("could not load image...\n");
return -1;
}
namedWindow("input image", CV_WINDOW_AUTOSIZE);
imshow("input image", src);
cvtColor(src, gray_src, CV_BGR2GRAY);//RGB转灰度
namedWindow("output", CV_WINDOW_AUTOSIZE);
int height = gray_src.rows;
int width = gray_src.cols;
imshow("output", gray_src);
for (int row = 0; row < height; row++) {//获取灰度图像的每一个像素值
for (int col = 0; col < width;col++) {
int gray = gray_src.at<uchar>(row, col);
gray_src.at<uchar>(row, col) = 255 - gray;//计算像素值(可自己设置数值)
}
}
imshow("gray_invert",gray_src);
waitKey(0);
return 0;
}
三通道读取及计算:
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main(int argc, char** argv) {
Mat src, dst, gray_src;
src = imread("E:/opencv/0/0.jpg");
if (!src.data) {
printf("could not load image...\n");
return -1;
}
namedWindow("input image", CV_WINDOW_AUTOSIZE);
imshow("input image", src);
namedWindow("output", CV_WINDOW_AUTOSIZE);
//三通道
dst.create(src.size(),src.type());
int height = src.rows;
int width = src.cols;
int nc = src.channels();
for (int row = 0; row < height; row++) {//获取灰度图像的每一个像素值
for (int col = 0; col < width; col++) {
if (nc = 3) {
int b = src.at<Vec3b>(row, col)[0];
int g = src.at<Vec3b>(row, col)[1];
int r = src.at<Vec3b>(row, col)[2];
dst.at<Vec3b>(row, col)[0] = 255 - b;
dst.at<Vec3b>(row, col)[1] = 255 - g;
dst.at<Vec3b>(row, col)[2] = 255 - r;
}//计算像素值(可自己设置数值)
}
}
//bitwise_not(src,dst);//位操作实现相同结果
imshow("output",dst);
waitKey(0);
return 0;
}
图像像素值max与min:
#include <opencv2/opencv.hpp>
#include <iostream>
#include<math.h>
using namespace cv;
using namespace std;
int main(int argc, char** argv) {
Mat src, dst;
src = imread("E:/opencv/0/0.jpg");
if (!src.data) {
printf("could not load image...\n");
return -1;
}
namedWindow("input image", CV_WINDOW_AUTOSIZE);
imshow("input image", src);
namedWindow("output", CV_WINDOW_AUTOSIZE);
//三通道
dst.create(src.size(),src.type());
int height = src.rows;
int width = src.cols;
int nc = src.channels();
for (int row = 0; row < height; row++) {//获取灰度图像的每一个像素值
for (int col = 0; col < width; col++) {
if (nc = 3) {
int b = src.at<Vec3b>(row, col)[0];
int g = src.at<Vec3b>(row, col)[1];
int r = src.at<Vec3b>(row, col)[2];
int B = dst.at<Vec3b>(row, col)[0];
int G = dst.at<Vec3b>(row, col)[0];
int R = dst.at<Vec3b>(row, col)[1];
dst.at<Vec3b>(row, col)[0] = max(r,max(b,g));
dst.at<Vec3b>(row, col)[1] = min(r, min(b, g));
dst.at<Vec3b>(row, col)[2] = max(r, max(b, g));
}//计算像素值(可自己设置数值)
}
}
imshow("output",dst);
waitKey(0);
return 0;
}