膨胀腐蚀的应用:消除噪声

效果图:

 

 代码:

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

Mat src, dst,dst2;

//膨胀腐蚀的应用:消除噪声
int main()
{
    //原图
    src = imread(".//pic//ABC.png", IMREAD_UNCHANGED);

    namedWindow("input image", CV_WINDOW_AUTOSIZE);
    imshow("input image", src);

    //转成灰度图
    Mat gray_src;
    cvtColor(src, gray_src, CV_BGR2GRAY);
    imshow("gray image", gray_src);

    //转成二值图
    Mat binImg;
    //255:二值图像的最大值
    //ADAPTIVE_THRESH_MEAN_C:自适应方法
    //THRESH_BINARY:阈值类型
    //15:块大小
    //取反可以把目标变白,灰度值大
    adaptiveThreshold(~gray_src, binImg, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, 0);
    imshow("bin image", binImg);

    Mat tmp;
    int s = 3;
    Mat structureElement = getStructuringElement(MORPH_RECT, Size(s, s), Point(-1, -1));
    erode(binImg, tmp, structureElement, Point(-1, -1));
    imshow("腐蚀后的图", tmp);
    dilate(tmp, dst, structureElement, Point(-1, -1));
    dst = ~dst;
    imshow("膨胀后的图", dst);

    waitKey(0);
    return 0;
}

 

来源：https://www.cnblogs.com/xiaochi/p/12001754.html