#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace std;
using namespace cv;
void threshold(Mat img, Mat &res, int threshold = 160)
{
    img.copyTo(res);
    int n = res.rows;
    int m = res.cols * res.channels();
    for (int i = 0; i < n; i++)
    {
        uchar* data = res.ptr<uchar>(i);
        for (int j = 0; j < m; j++) {
            data[j] = data[j] > threshold;
        }
    }
}
int main() {
    //读取图像
    Mat img = imread("G:/image/xs.jpg");
    //改为灰度图像
    cvtColor(img, img, COLOR_BGR2GRAY);
    //缩放图像
    cout << img.rows << ' ' << img.cols << '\n';
    resize(img, img, Size(256, 256), INTER_AREA);
    cout << img.rows << ' ' << img.cols << '\n';
    Mat Binary, Erode, Dilate, element;
    //均一阈值分割
    threshold(img, Binary);
    int kernel_size = 5;
    element = getStructuringElement(MORPH_RECT, Size(5, 5));
    //腐蚀
    erode(Binary, Erode, element);
    //膨胀
    dilate(Binary, Dilate, element);
    //显示图像
    imshow("Original image", img);
    imshow("Binary_image",Binary * 255 );
    imshow("Erode_image",Erode * 255);
    imshow("Dilate_image", Dilate * 255);
    waitKey(0);
    return 0;
}