AutoLevelAndAutoContrast.cpp · 杨慧强/Image-processing-algorithm

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Image-processing-algorithm

AutoLevelAndAutoContrast.cpp

AutoLevelAndAutoContrast.cpp 6.71 KB

#include "opencv2/opencv.hpp"
#include "iostream"
#include "algorithm"
#include "vector"
using namespace std;
using namespace cv;

Mat AutoLevel(Mat src, double LowCut, double HighCut){
 int rows = src.rows;
 int cols = src.cols;
 int totalPixel = rows * cols;
 //统计每个通道的直方图
 uchar Pixel[256*3] = {0};
 vector <Mat> rgb;
 split(src, rgb);
 Mat HistBlue, HistGreen, HistRed;
 int histSize = 256;
 float range[] = {0, 255};
 const float* histRange = {range};
 bool uniform = true;
 bool accumulate = false;
 calcHist(&rgb[0], 1, 0, Mat(), HistRed, 1, &histSize, &histRange, uniform, accumulate);
 calcHist(&rgb[1], 1, 0, Mat(), HistGreen, 1, &histSize, &histRange, uniform, accumulate);
 calcHist(&rgb[2], 1, 0, Mat(), HistBlue, 1, &histSize, &histRange, uniform, accumulate);
 //分别计算各通道按照给定的参数所确定的上下限值
 int MinBlue = 0, MaxBlue = 0;
 int MinRed = 0, MaxRed = 0;
 int MinGreen = 0, MaxGreen = 0;

//Blue Channel
 float sum = 0;
 sum = 0;
 for(int i = 0; i < 256; i++){
 sum += HistBlue.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinBlue = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistBlue.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxBlue = i;
 break;
 }
 }
 //Red channel
 for(int i = 0; i < 256; i++){
 sum += HistRed.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinRed = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistRed.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxRed = i;
 break;
 }
 }
 //Green channel
 sum = 0;
 for(int i = 0; i < 256; i++){
 sum += HistGreen.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinGreen = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistGreen.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxGreen = i;
 break;
 }
 }
 printf("%d %d %d %d %d %d\n", MinGreen, MaxGreen, MinBlue, MaxBlue, MinRed, MaxRed);
 //自动色阶:按照我们刚刚计算出的MinBlue/MaxBlue构建一个隐射表
 for(int i = 0; i < 256; i++){
 if(i <= MinBlue){
 Pixel[i*3+2] = 0;
 }else{
 if(i > MaxBlue){
 Pixel[i*3+2] = 255;
 }else{
 float temp = (float)(i - MinBlue) / (MaxBlue - MinBlue);
 Pixel[i*3+2] = (uchar)(temp*255);
 }
 }
 if(i <= MinGreen){
 Pixel[i*3+1] = 0;
 }else{
 if(i > MaxGreen){
 Pixel[i*3+1] = 255;
 }else{
 float temp = (float)(i - MinGreen) / (MaxGreen - MinGreen);
 Pixel[i*3+1] = (uchar)(temp*255);
 }
 }
 if(i <= MinRed){
 Pixel[i*3] = 0;
 }else{
 if(i > MaxRed){
 Pixel[i*3] = 255;
 }else{
 float temp = (float)(i - MinRed) / (MaxRed - MinRed);
 Pixel[i*3] = (uchar)(temp*255);
 }
 }
 }
 Mat dst;
 Mat TMP(1, 256, CV_8UC3, Pixel);
 LUT(src, TMP, dst);
 return dst;
}

Mat AutoContrast(Mat src, double LowCut, double HighCut){
 int rows = src.rows;
 int cols = src.cols;
 int totalPixel = rows * cols;
 //统计每个通道的直方图
 uchar Pixel[256*3] = {0};
 vector <Mat> rgb;
 split(src, rgb);
 Mat HistBlue, HistGreen, HistRed;
 int histSize = 256;
 float range[] = {0, 255};
 const float* histRange = {range};
 bool uniform = true;
 bool accumulate = false;
 calcHist(&rgb[0], 1, 0, Mat(), HistRed, 1, &histSize, &histRange, uniform, accumulate);
 calcHist(&rgb[1], 1, 0, Mat(), HistGreen, 1, &histSize, &histRange, uniform, accumulate);
 calcHist(&rgb[2], 1, 0, Mat(), HistBlue, 1, &histSize, &histRange, uniform, accumulate);
 //分别计算各通道按照给定的参数所确定的上下限值
 int MinBlue = 0, MaxBlue = 0;
 int MinRed = 0, MaxRed = 0;
 int MinGreen = 0, MaxGreen = 0;

//Blue Channel
 float sum = 0;
 sum = 0;
 for(int i = 0; i < 256; i++){
 sum += HistBlue.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinBlue = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistBlue.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxBlue = i;
 break;
 }
 }
 //Red channel
 for(int i = 0; i < 256; i++){
 sum += HistRed.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinRed = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistRed.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxRed = i;
 break;
 }
 }
 //Green channel
 sum = 0;
 for(int i = 0; i < 256; i++){
 sum += HistGreen.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinGreen = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistGreen.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxGreen = i;
 break;
 }
 }
 int minn = min(MinBlue, min(MinGreen, MinRed));
 int maxx = max(MaxBlue, max(MaxGreen, MaxRed));
 //自动对比度
 for(int i = 0; i < 256; i++){
 if(i <= minn){
 Pixel[i*3+2] = 0;
 }else{
 if(i > maxx){
 Pixel[i*3+2] = 255;
 }else{
 float temp = (float)(i - minn) / (maxx - minn);
 Pixel[i*3+2] = (uchar)(temp*255);
 }
 }
 if(i <= minn){
 Pixel[i*3+1] = 0;
 }else{
 if(i > maxx){
 Pixel[i*3+1] = 255;
 }else{
 float temp = (float)(i - minn) / (maxx - minn);
 Pixel[i*3+1] = (uchar)(temp*255);
 }
 }
 if(i <= minn){
 Pixel[i*3] = 0;
 }else{
 if(i > maxx){
 Pixel[i*3] = 255;
 }else{
 float temp = (float)(i - minn) / (maxx - minn);
 Pixel[i*3] = (uchar)(temp*255);
 }
 }
 }
 Mat dst;
 Mat TMP(1, 256, CV_8UC3, Pixel);
 LUT(src, TMP, dst);
 return dst;
}

int main(){
 Mat src = imread("../3.png");
 Mat dst = AutoLevel(src, 0.005, 0.005);
 imshow("origin", src);
 imshow("result", dst);
 waitKey(0);
}

一键复制编辑原始数据按行查看历史

BBuf 提交于 2018年12月13日 10:40 +08:00 . Update AutoLevelAndAutoContrast

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#include "opencv2/opencv.hpp"
#include "iostream"
#include "algorithm"
#include "vector"
using namespace std;
using namespace cv;

Mat AutoLevel(Mat src, double LowCut, double HighCut){
 int rows = src.rows;
 int cols = src.cols;
 int totalPixel = rows * cols;
 //统计每个通道的直方图
 uchar Pixel[256*3] = {0};
 vector <Mat> rgb;
 split(src, rgb);
 Mat HistBlue, HistGreen, HistRed;
 int histSize = 256;
 float range[] = {0, 255};
 const float* histRange = {range};
 bool uniform = true;
 bool accumulate = false;
 calcHist(&rgb[0], 1, 0, Mat(), HistRed, 1, &histSize, &histRange, uniform, accumulate);
 calcHist(&rgb[1], 1, 0, Mat(), HistGreen, 1, &histSize, &histRange, uniform, accumulate);
 calcHist(&rgb[2], 1, 0, Mat(), HistBlue, 1, &histSize, &histRange, uniform, accumulate);
 //分别计算各通道按照给定的参数所确定的上下限值
 int MinBlue = 0, MaxBlue = 0;
 int MinRed = 0, MaxRed = 0;
 int MinGreen = 0, MaxGreen = 0;

 //Blue Channel
 float sum = 0;
 sum = 0;
 for(int i = 0; i < 256; i++){
 sum += HistBlue.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinBlue = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistBlue.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxBlue = i;
 break;
 }
 }
 //Red channel
 for(int i = 0; i < 256; i++){
 sum += HistRed.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinRed = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistRed.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxRed = i;
 break;
 }
 }
 //Green channel
 sum = 0;
 for(int i = 0; i < 256; i++){
 sum += HistGreen.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinGreen = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistGreen.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxGreen = i;
 break;
 }
 }
 printf("%d %d %d %d %d %d\n", MinGreen, MaxGreen, MinBlue, MaxBlue, MinRed, MaxRed);
 //自动色阶:按照我们刚刚计算出的MinBlue/MaxBlue构建一个隐射表
 for(int i = 0; i < 256; i++){
 if(i <= MinBlue){
 Pixel[i*3+2] = 0;
 }else{
 if(i > MaxBlue){
 Pixel[i*3+2] = 255;
 }else{
 float temp = (float)(i - MinBlue) / (MaxBlue - MinBlue);
 Pixel[i*3+2] = (uchar)(temp*255);
 }
 }
 if(i <= MinGreen){
 Pixel[i*3+1] = 0;
 }else{
 if(i > MaxGreen){
 Pixel[i*3+1] = 255;
 }else{
 float temp = (float)(i - MinGreen) / (MaxGreen - MinGreen);
 Pixel[i*3+1] = (uchar)(temp*255);
 }
 }
 if(i <= MinRed){
 Pixel[i*3] = 0;
 }else{
 if(i > MaxRed){
 Pixel[i*3] = 255;
 }else{
 float temp = (float)(i - MinRed) / (MaxRed - MinRed);
 Pixel[i*3] = (uchar)(temp*255);
 }
 }
 }
 Mat dst;
 Mat TMP(1, 256, CV_8UC3, Pixel);
 LUT(src, TMP, dst);
 return dst;
}

Mat AutoContrast(Mat src, double LowCut, double HighCut){
 int rows = src.rows;
 int cols = src.cols;
 int totalPixel = rows * cols;
 //统计每个通道的直方图
 uchar Pixel[256*3] = {0};
 vector <Mat> rgb;
 split(src, rgb);
 Mat HistBlue, HistGreen, HistRed;
 int histSize = 256;
 float range[] = {0, 255};
 const float* histRange = {range};
 bool uniform = true;
 bool accumulate = false;
 calcHist(&rgb[0], 1, 0, Mat(), HistRed, 1, &histSize, &histRange, uniform, accumulate);
 calcHist(&rgb[1], 1, 0, Mat(), HistGreen, 1, &histSize, &histRange, uniform, accumulate);
 calcHist(&rgb[2], 1, 0, Mat(), HistBlue, 1, &histSize, &histRange, uniform, accumulate);
 //分别计算各通道按照给定的参数所确定的上下限值
 int MinBlue = 0, MaxBlue = 0;
 int MinRed = 0, MaxRed = 0;
 int MinGreen = 0, MaxGreen = 0;

 //Blue Channel
 float sum = 0;
 sum = 0;
 for(int i = 0; i < 256; i++){
 sum += HistBlue.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinBlue = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistBlue.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxBlue = i;
 break;
 }
 }
 //Red channel
 for(int i = 0; i < 256; i++){
 sum += HistRed.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinRed = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistRed.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxRed = i;
 break;
 }
 }
 //Green channel
 sum = 0;
 for(int i = 0; i < 256; i++){
 sum += HistGreen.at<float>(i);
 if(sum >= totalPixel * LowCut * 0.01){
 MinGreen = i;
 break;
 }
 }
 sum = 0;
 for(int i = 255; i >= 0; i--){
 sum = sum + HistGreen.at<float>(i);
 if(sum >= totalPixel * HighCut * 0.01){
 MaxGreen = i;
 break;
 }
 }
 int minn = min(MinBlue, min(MinGreen, MinRed));
 int maxx = max(MaxBlue, max(MaxGreen, MaxRed));
 //自动对比度
 for(int i = 0; i < 256; i++){
 if(i <= minn){
 Pixel[i*3+2] = 0;
 }else{
 if(i > maxx){
 Pixel[i*3+2] = 255;
 }else{
 float temp = (float)(i - minn) / (maxx - minn);
 Pixel[i*3+2] = (uchar)(temp*255);
 }
 }
 if(i <= minn){
 Pixel[i*3+1] = 0;
 }else{
 if(i > maxx){
 Pixel[i*3+1] = 255;
 }else{
 float temp = (float)(i - minn) / (maxx - minn);
 Pixel[i*3+1] = (uchar)(temp*255);
 }
 }
 if(i <= minn){
 Pixel[i*3] = 0;
 }else{
 if(i > maxx){
 Pixel[i*3] = 255;
 }else{
 float temp = (float)(i - minn) / (maxx - minn);
 Pixel[i*3] = (uchar)(temp*255);
 }
 }
 }
 Mat dst;
 Mat TMP(1, 256, CV_8UC3, Pixel);
 LUT(src, TMP, dst);
 return dst;
}

int main(){
 Mat src = imread("../3.png");
 Mat dst = AutoLevel(src, 0.005, 0.005);
 imshow("origin", src);
 imshow("result", dst);
 waitKey(0);
}