Opencv3 C++ VS2017 学习笔记 05 调整图像亮度和对比度

 调整图像亮度和对比度(像素级操作)


  • 邻域操作: 区域
    • 特征提取
    • 图像识别
    • 检测等应用
  • point点操作:像素变换
    • \large \large g\left ( i,j \right )=\alpha f(i.j)+\beta , \alpha >0,\beta是增益变量
    • 亮度就是像素值, 值越大越亮
    • 对比度就是差值
  • 常用相关API
    • Mat dst = Mat::zeros(src.size(), src.type()):
      • 创建一个Mat对象dst,和src的大小类型一样
    • saturate_cast<uchar>(value)
      • 确保像素值大小在0~255
      • 是就返回该值, 否就返回0
    • Mat.at<Vec3b>(y,x)[index]   
      • 获取像素点第index通道的值
      • Mat.at<Vec3b>(y,x)[index] = value 赋值
#include "pch.h"
#include <iostream>
#include <opencv2/opencv.hpp>
#include <string>

using namespace std;


int main(int argc, char ** argv)
{
	using namespace cv;
	Mat src0, src1;
	src0 = imread("C:\\Users\\xujin\\Desktop\\test0.JPG");
	if (!src0.data)
	{
		cout << "no image";
		return -1;
	}
	namedWindow("src0_image", WINDOW_AUTOSIZE);
	imshow("src0_image", src0);
	src1 = imread("C:\\Users\\xujin\\Desktop\\test1.JPG");
	if (!src1.data)
	{
		cout << "no image";
		return -1;
	}
	namedWindow("src1_image", WINDOW_AUTOSIZE);
	imshow("src1_image", src1);


	//调整亮度

	Mat dst = src0.clone();
	namedWindow("dst_image", WINDOW_AUTOSIZE);
	imshow("dst_image", dst);

	//对dst对象进行像素级操作
	int height = dst.rows;
	int width = dst.cols;
	float alpha = 1.2;
	float beta = 123;
	
	for (int row = 0; row < height; row++)
	{
		for (int col = 0; col < width; col++)
		{
			if (dst.channels() == 3)
			{
				float b = dst.at<Vec3b>(row, col)[0];    //如果图片不是3f的数据,则必然error,所以要先转换成3f数据
				float g = dst.at<Vec3b>(row, col)[1];
				float r = dst.at<Vec3b>(row, col)[2];
				dst.at<Vec3b>(row, col)[0] = saturate_cast<uchar>(b*alpha + beta);
				dst.at<Vec3b>(row, col)[1] = saturate_cast<uchar>(g*alpha + beta);
				dst.at<Vec3b>(row, col)[2] = saturate_cast<uchar>(r*alpha + beta);
				 
			}
			else if (dst.channels() == 1)
			{
				float piexl = dst.at<uchar>(row, col);
				dst.at<Vec3f>(row, col) = saturate_cast<uchar>(piexl*alpha + beta);
			}
			else
			{
				cout << "channels error" << endl;
				return -1;
			}
		}
	}

	string output = "output";
	namedWindow(output, WINDOW_AUTOSIZE);
	imshow(output, dst);
	waitKey(0);
	return 0;
}

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转载自blog.csdn.net/Mrsherlock_/article/details/104492365