前言

这篇文章主要讲述如何通过手动设置固定阈值，完成图像的二值化。

一、代码

#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;

int main()
{
	cv::Mat srcMat = imread("C://Users//john//Desktop//1.jpg");
	int height = srcMat.rows;
	int width = srcMat.cols;
	for (int j = 0; j < height; j++)
	{
		for (int i = 0; i < width; i++)
		{
			uchar average = (srcMat.at<Vec3b>(j, i)[0] + srcMat.at<Vec3b>(j, i)[1] + srcMat.at<Vec3b>(j, i)[2]) / 3;
			if (average > 100)average = 255;
			if (average <= 100) average = 0;
			srcMat.at<Vec3b>(j, i)[0] = average;
			srcMat.at<Vec3b>(j, i)[1] = average;
			srcMat.at<Vec3b>(j, i)[2] = average;
		}
	}
	imshow("src", srcMat);
	waitKey(0);
}

总结

代码运行成功，便可以将彩色图像转化为二值图。