#include<opencv2/opencv.hpp>
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
// 读入图像,判断读入是否成功
string fileName = samples::findFile("E://pythonProject1//image//img_1.png");
Mat src = imread(fileName, IMREAD_COLOR);
if (src.empty())
{
fprintf(stderr, "failed to load image: %s\n", fileName);
system("pause");
return EXIT_FAILURE;
}
Mat dst1, dst2, dst3;
dst1 = Mat::zeros(src.size(), src.type());
double alpha = 1.0;
double beta = 0.0;
double gama = 1.0;
// 提示并输入 α β γ 的值
cout << " Basic Linear Transforms " << endl;
cout << "-------------------------" << endl;
cout << "* Enter the alpha value [1.0-3.0]: "; cin >> alpha;
cout << "* Enter the beta value [0-100]: "; cin >> beta;
cout << "* Enter the gama value [-1,1]: "; cin >> gama;
// 直接使用循环遍历每一个像素,应用公式
double t1 = (double)getTickCount();
for (int row = 0; row < src.rows; ++row)
for (int col = 0; col < src.cols; ++col)
for (int channel = 0; channel < src.channels(); ++channel)
{
dst1.at<Vec3b>(row, col)[channel] = saturate_cast<uchar>(alpha * src.at<Vec3b>(row, col)[channel] + beta);
}
double time1 = ((double)getTickCount() - t1) / getTickFrequency();
cout << "Method by pixel use time:" << time1 << "(ms)" << endl;
// 调用 convertTo() 函数调整对比度和亮度
double t2 = (double)getTickCount();
src.convertTo(dst2, -1, alpha, beta);
double time2 = ((double)getTickCount() - t2) / getTickFrequency();
cout << "Method by pixel use time:" << time2 << "(ms)" << endl;
// 构建查找表
Mat lookUpTable(1, 256, CV_8U);
uchar* p = lookUpTable.ptr();
for (int i = 0; i < 256; ++i)
p[i] = saturate_cast<uchar>(pow(i / 255.0, gama) * 255.0);
// 使用查找表进行对比度亮度调整
double t3 = (double)getTickCount();
LUT(src, lookUpTable, dst3);
double time3 = ((double)getTickCount() - t3) / getTickFrequency();
cout << "Method by γ correct use time:" << time3 << "(ms)" << endl;
// 调整窗体大小,显示调整效果
namedWindow("original", WINDOW_NORMAL);
resizeWindow("original", Size(src.cols / 2, src.rows / 2));
imshow("original", src);
namedWindow("pixel set", WINDOW_NORMAL);
resizeWindow("pixel set", Size(src.cols / 2, src.rows / 2));
imshow("pixel set", dst1);
namedWindow("convertTo", WINDOW_NORMAL);
resizeWindow("convertTo", Size(src.cols / 2, src.rows / 2));
imshow("convertTo", dst2);
namedWindow("γ correct", WINDOW_NORMAL);
resizeWindow("γ correct", Size(src.cols / 2, src.rows / 2));
imshow("γ correct", dst3);
waitKey(0);
system("pause");
return EXIT_SUCCESS;
}