Log convert.zip_C++_blackg53_opencv_对数变换_对数变换 C++

// 对数变换.cpp: 定义控制台应用程序的入口点。 // #include "stdafx.h" #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <iostream> using namespace cv; using namespace std; //基于源图像的方法1 Mat logTransform1(Mat srcImage, int c) { if (srcImage.empty()) cout << "No data" << endl; Mat resultImage = Mat::zeros(srcImage.size(), srcImage.type()); add(srcImage, Scalar(1.0), srcImage); //计算 r+1 srcImage.convertTo(srcImage, CV_32F); //转化为32位浮点型 log(srcImage, resultImage); //计算log(1+r) resultImage = c * resultImage; //归一化处理 normalize(resultImage, resultImage, 0, 255, NORM_MINMAX); convertScaleAbs(resultImage, resultImage); return resultImage; } //方法2 Mat logTransform2(Mat srcImage, float c) { if (srcImage.empty()) cout << "No data" << endl; Mat resultImage = Mat::zeros(srcImage.size(), srcImage.type()); double gray = 0; for (int i = 0; i < srcImage.rows; i++) { for (int j = 0; j < srcImage.cols; j++) { gray = (double)srcImage.at<uchar>(i, j); gray = c * log((double)(1 + gray)); resultImage.at<uchar>(i, j) = saturate_cast<uchar>(gray); } } //归一化处理 normalize(resultImage, resultImage, 0, 255, NORM_MINMAX); convertScaleAbs(resultImage, resultImage); return resultImage; } //方法3 Mat logTransform3(Mat srcImage, float c) { if (srcImage.empty()) cout << "No data" << endl; Mat resultImage = Mat::zeros(srcImage.size(), srcImage.type()); srcImage.convertTo(resultImage, CV_32F); //图像类型转换 resultImage = resultImage + 1; //图像矩阵元素加1 log(resultImage, resultImage); resultImage = c * resultImage; //归一化处理 normalize(resultImage, resultImage, 0, 255, NORM_MINMAX); convertScaleAbs(resultImage, resultImage); return resultImage; } int main() { //Mat srcImage = imread("D:\\1.jpg"); Mat srcImage = imread("C:\\Users\\Administrator\\Desktop\\Pic\\Most.png"); if (!srcImage.data) return -1; imshow("srcImage", srcImage); float c = 1.5; Mat resultImage; double tTime; tTime = (double)getTickCount(); const int nTimes = 100; for (int i = 0; i < nTimes; i++) { resultImage = logTransform3(srcImage, c); } tTime = 1000 * ((double)getTickCount() - tTime) / getTickFrequency(); tTime /= nTimes; cout << tTime << endl; imshow("resultImage", resultImage); waitKey(0); return 0; }