Opencv4.6版本，封装好的亮度和对比度类
1.AdjustImage类（实现亮度、对比度封装）
Opencv安装教程，可以参考安装opencv。
AdjustImage.h
#pragma once
#include <iostream>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;
class AdjustImage {
private:
int colorStart;//初始亮度
int contrast;//初始对比度
int colorMax;//亮度最大值
int contrastMax;//对比度最大值
Mat src;//原图像
string nameWin;//窗口名称
string trackName1;//亮度bar
string trackName2;//对比度bar
public:
AdjustImage();//空构造
AdjustImage(Mat src, int colorStart, int contrast, int colorMax,
int contrastMax, string nameWin, string trackName1,
string trackName2);
int getColorStart();
int getContrast();
int getColorMax();
int getContrastMax();
string getNameWin();
string getTrackName1();
string getTrackName2();
void setColorStart(int colorStart);
void setContrast(int contrast);
Mat getSrc();
void trackbarInit( AdjustImage adjust);//初始化
};
AdjustImage.cpp
#include "iostream"
#include "AdjustImage.h"
AdjustImage::AdjustImage() {
}
AdjustImage::AdjustImage(Mat src, int colorStart, int contrast, int colorMax,
int contrastMax, string nameWin, string trackName1,
string trackName2) {
this->src = src;
this->contrast = colorStart;
this->contrast = contrast;
this->colorMax = colorMax;
this->contrastMax = contrastMax;
this->nameWin = nameWin;
this->trackName1 = trackName1;
this->trackName2 = trackName2;
}
int AdjustImage::getColorStart() {
return this->colorStart; }
int AdjustImage::getContrast() {
return this->contrast; }
int AdjustImage::getColorMax() {
return this->colorMax; }
int AdjustImage::getContrastMax() {
return this->contrastMax; }
Mat AdjustImage::getSrc() {
return this->src; }
string AdjustImage::getNameWin() {
return this->nameWin; }
string AdjustImage::getTrackName1() {
return this->trackName1; }
string AdjustImage::getTrackName2() {
return this->trackName2; }
void AdjustImage::setColorStart(int colorStart) {
this->colorStart = colorStart;
}
void AdjustImage::setContrast(int contrast) {
this->contrast = contrast; }
void setContrastMax(int contrast);
void mytrackBarCallback(int, void* data) {
AdjustImage adjust = *(AdjustImage*)(data);
string nameWin = adjust.getNameWin();
string lightnessTrack = adjust.getTrackName1();
string contrastTrack = adjust.getTrackName2();
adjust.setColorStart(getTrackbarPos(lightnessTrack, nameWin));
adjust.setContrast(getTrackbarPos(contrastTrack, nameWin));
Mat srcBar = adjust.getSrc();
Mat dst;
srcBar.convertTo(dst, -1, adjust.getContrast() * 0.01, adjust.getColorStart() );
imshow(nameWin, dst);
waitKey(0);
}
void AdjustImage::trackbarInit(AdjustImage adjust) {
string nameWin = adjust.getNameWin();
string lightnessTrack = adjust.getTrackName1();
string contrastTrack = adjust.getTrackName2();
namedWindow(nameWin, WINDOW_AUTOSIZE);
int colorStart = adjust.getColorStart();
int colorMax = adjust.getColorMax();
int contrast = adjust.getContrast();
int contrastMax = adjust.getContrastMax();
//调整亮度的TrackBar
createTrackbar(lightnessTrack, nameWin, &colorStart, colorMax,
mytrackBarCallback, &adjust);
//调整对比度的TrackBar，他们使用同一个回调函数
createTrackbar(contrastTrack, nameWin, &contrast, contrastMax,
mytrackBarCallback, &adjust);
}
Main.cpp
#include <iostream>
#include <opencv2/opencv.hpp>
#include"AdjustImage.h"
int main() {
// 源图像载入及判断
/*Mat srcImage = cv::imread("D:\\project\\defect-detection\\images\\guo\\test0.jpg");*/
Mat srcImage =
cv::imread("C:\\Users\\w000628\\Desktop\\2.png");
if (!srcImage.data) {
cout << "Failed to load image" << std::endl;
return -1;
}
AdjustImage adjust =AdjustImage(srcImage, 0, 30, 255, 100, "adjust-image", "lightness", "contrast");
AdjustImage op = AdjustImage();
op.trackbarInit(adjust);
return 0;
}
结果（可调节两个trackBar来控制一张图片的亮度和对比度）
