本文主要是介绍基于动态阈值的白平衡算法 照片校色，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
话不多说，原理见上一篇博客，结果耶很好，直接贴代码：
/*这个是基于动态阈值的自动白平衡算法做的照片颜色校正的程序*/
/*Automatic White Balance Method*/
/*输入包含照片名字的txt文本，输出加前缀的较色后的照片*/
/*时间:2015.8.24*/
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/face.hpp>
#include <opencv2/xphoto/white_balance.hpp>
#include <opencv2/xphoto.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <vector>
using namespace std;
using namespace cv;
double baidianave(Mat frame,int n)
{ int a[256];for (int i=0;i<256;i++){a[i]=0;}double sum=0;double ave;for (int i=0;i<n;i++){int d=frame.at<double>(0,i);a[d]++;}int n0=255;for (int k=255;k>0;k--){sum+=a[k];if (sum>frame.rows*frame.cols/10){break;}n0--;}sum=0;for (int i=n0;i<256;i++){sum+=a[i]*i;}ave=sum/(frame.rows*frame.cols/10);return ave;
}
double baidianave(Mat frame)
{ int a[256];
//cvZero(a);for (int i=0;i<256;i++){a[i]=0;}double sum=0;double ave;for (int i=0;i<frame.rows;i++){for (int j=0;j<frame.cols;j++){int d=(int)frame.at<uchar>(i,j);a[d]++;}}int n0=255;for (int k=255;k>0;k--){sum+=a[k];if (sum>frame.rows*frame.cols/10){break;}n0--;}sum=0;for (int i=n0;i<256;i++){sum+=a[i]*i;}ave=sum/(frame.rows*frame.cols/10);return ave;}int main(int argc, char* argv[])
{if (2 != argc) {cout << "Please enter the image list!" <<endl;return -1;}vector<string> file_names;FILE *file_list = fopen(argv[1],"r");char buf[255];memset(&buf,0,sizeof(buf));while(fgets(buf,255,file_list)){if(buf[strlen(buf)-1] == '\n') buf[strlen(buf)-1] = '\0';file_names.push_back(string(buf));}fclose(file_list);int count = file_names.size();for(int i=0; i<count; i++){string img_nm = file_names[i];string img_mask = "c2" + img_nm;int pos = img_nm.rfind('.');string img_fmt = img_nm.substr(pos+1);if("jpg" != img_fmt){cout << "Unknown format: " << img_fmt << endl;continue;}Mat frame= imread(img_nm,1);// cout<<frame.rows<<" "<<frame.cols<<endl;// cvShowImage("处理前图像",frame);int heightyiban=frame.rows;int widthyiban=frame.cols;double Mb,Db;//图像分成四部分，每部分Cb的均值和均方差double Mr,Dr;//Cr的均值和均方差 Mat imageYCrCb = Mat::zeros(frame.size(), CV_8UC3);Mat imageCb = Mat::zeros(frame.size(), CV_8UC1);Mat imageCr = Mat::zeros(frame.size(), CV_8UC1);Mat imageY = Mat::zeros(frame.size(), CV_8UC1);cvtColor(frame,imageYCrCb,CV_BGR2YCrCb); std::vector<cv::Mat>ybr(imageYCrCb.channels());split(imageYCrCb,ybr);Mat imageb=Mat::zeros(frame.size(), CV_8UC1);Mat imagec=Mat::zeros(frame.size(), CV_8UC1);ybr[1].copyTo(imageb);ybr[2].copyTo(imagec);Mat savg,sfangcha;//全局scalar 变量用来放平均值和方差meanStdDev(ybr[2],savg,sfangcha);Mb=savg.at<double>(0);Db=sfangcha.at<double>(0);//求出第一部分cb的均值和均方差meanStdDev(ybr[1],savg,sfangcha);Mr=savg.at<double>(0);// cout<<"Mr: "<<Mr[0]<<endl;Dr=sfangcha.at<double>(0);;//求出第一部分cr的均值和均方差// cout<<"Dr: "<<Dr[0]<<endl;double b,c;if (Mb<0)//计算mb+db*sign（mb）{ b=Mb+Db*(-1);}elseb=Mb+Db;if (Mr<0)//计算1.5*mr+dr*sign（mb）；{c=1.5*Mr+Dr*(-1);}elsec=1.5*Mr+Dr;double Ymax=baidianave(ybr[0]);//下面是对第一部分进行白点的选择Mat Bbaidian=Mat::zeros(1,6000000,CV_64FC1);Mat Gbaidian=Mat::zeros(1,6000000,CV_64FC1);Mat Rbaidian=Mat::zeros(1,6000000,CV_64FC1);//CvScalar s1;int n1=0;// cout<<"b[0]: "<<b[0]<<" c[0]: "<<c[0]<<endl;for (int i=0;i<heightyiban;i++){for (int j=0;j<widthyiban;j++){if (((ybr[2].at<uchar>(i,j)-b)<(1.5*Db))&&((ybr[1].at<uchar>(i,j)-c)<(1.5*Dr))){double d1=frame.at<Vec3b>(i,j)[0];Bbaidian.at<double>(0,n1)=d1;double d2=frame.at<Vec3b>(i,j)[1];Gbaidian.at<double>(0,n1)=d2;double d3=frame.at<Vec3b>(i,j)[2];Rbaidian.at<double>(0,n1)=d3;n1++;}}}double Bave1=baidianave(Bbaidian,n1);double Gave1=baidianave(Gbaidian,n1);double Rave1=baidianave(Rbaidian,n1);// cout<<"Bave1: "<<Bave1<<" Gave1: "<<Gave1<<" Rave1: "<<Rave1<<" Ymax: "<<Ymax<<endl;double Bgain1=Ymax/(Bave1);double Ggain1=Ymax/(Gave1);double Rgain1=Ymax/(Rave1);// cout<<Bgain1<<" "<<Ggain1<<" "<<Rgain1<<endl; for (int i=0;i<heightyiban;i++){for (int j=0;j<widthyiban;j++){int tb=Bgain1*frame.at<Vec3b>(i,j)[0];int tg=Ggain1*frame.at<Vec3b>(i,j)[1];int tr=Rgain1*frame.at<Vec3b>(i,j)[2];if (tb>255){tb=255;}if (tg>255){tg=255;}if (tr>255){tr=255;} frame.at<Vec3b>(i,j)[0]=tb;frame.at<Vec3b>(i,j)[1]=tg;frame.at<Vec3b>(i,j)[2]=tr;}}imwrite(img_mask.c_str(),frame); cout<<"Finish!"<<endl;}return 0;
}
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