Mac中opencv批量对图片进行二值化

对灰度图像进行二值化，传入的图片是手写汉字的截图，通过二值化把字的部分提出来。用ostu进行二值化

#include <stdio.h>

#include <iostream>

#include <opencv2/core/core.hpp>

#include <opencv2/highgui/highgui.hpp>

#include <opencv2/imgproc/imgproc.hpp>

#include <stdio.h>

#include<stack>

using namespace std;

using namespace cv;

#include <fstream>

#include <sys/uio.h>

#include <dirent.h>

int main()

{

    struct dirent *dirp;

    DIR* dir = opendir("/Users/tanchao/Documents/c++work/myopencv5/myopencv5/image");

    //int blockSize = 25;

    //int constValue = 10;

    while ((dirp = readdir(dir)) != nullptr)

    {

        if (dirp->d_type == DT_REG &&string(dirp->d_name)!=".DS_Store")//.DS_Store是Mac中隐藏文件，记录这个文件夹的属性，所以我们要跳过这个文件

        {

            Mat g_srcImage;

            g_srcImage = imread("/Users/tanchao/Documents/c++work/myopencv5/myopencv5/image/"+string(dirp->d_name),);//第二个参数0表示灰度图读取

            //imshow("test",g_srcImage);

            Mat changeMat = Mat::zeros(cv::Size(g_srcImage.cols, g_srcImage.rows), CV_8UC1);//修改之后的图片

            for(int i=;i<g_srcImage.rows;i++)

            {

                for(int j=;j<g_srcImage.cols;j++)

                {

                    //if(int(g_srcImage.at<uchar>(i,j))>150)

                        //changeMat.ptr<uchar>(i)[j] = 255;

                    //else

                        //changeMat.ptr<uchar>(i)[j] = int(g_srcImage.at<uchar>(i,j));

                    //cout<<int(g_srcImage.at<uchar>(i,j))<<" ";

                    //adaptiveThreshold(g_srcImage, changeMat, 255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY_INV, blockSize, constValue);

                    threshold(g_srcImage, changeMat, , , CV_THRESH_OTSU);

                }

                //cout << "\n"<<endl;

            }

            cout<<"/Users/tanchao/Documents/c++work/myopencv5/myopencv5/change/"+string(dirp->d_name)<<endl;

            imwrite("/Users/tanchao/Documents/c++work/myopencv5/myopencv5/quanjuyuzhi/"+string(dirp->d_name),changeMat);//加了用来截图

        }

    }

    closedir(dir);

    waitKey();

    return ;

}

其实也可以用自适应二值化和自己设定阈值进行二值化，具体的可以根据代码中注释部分进行修改。