OpenCV 膨胀and腐蚀


#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;


// 膨胀:计算掩膜覆盖下图像的最大像素值来替换锚点的像素
// 简单说 用高像素点来代替低像素点,图片越来越白


// 腐蚀:计算掩膜覆盖下图像的最小像素值来替换锚点的像素
// 图片越来越黑

Mat src, dst;
int element_size = 3;
int max_size = 21;

void CallBack_dilate(int, void *) {
    int s = element_size * 2 + 1;
    Mat structureElement = getStructuringElement(MORPH_RECT, Size(s, s), Point(-1, -1));
    dilate(src, dst, structureElement, Point(-1, -1), 1);
    imshow("output image", dst);
    return ;
}

void CallBack_erode(int, void*) {
    int s = element_size * 2 + 1;
    Mat structureElement = getStructuringElement(MORPH_RECT, Size(s, s), Point(-1, -1));
    erode(src, dst, structureElement, Point(-1, -1), 1);
    imshow("output image", dst);
    return ;
}


int main() {
    Mat src1, src2, gray_src, dst;
    src = imread("/Users/apple/Desktop/birth.jpg", IMREAD_COLOR);
    //src2 = imread("/Users/apple/Desktop/test2.jpg", IMREAD_COLOR);
    if (src.empty()) { // if (!src.data())
        cout << "could not load image..." << endl;
        return -1;
    }
    imshow("input", src);
    
    namedWindow("output image", CV_WINDOW_AUTOSIZE);
    createTrackbar("dilate size: ", "output image", &element_size, max_size, CallBack_dilate);
    createTrackbar("erode size:", "output image", &element_size, max_size, CallBack_erode);
    CallBack_dilate(0, 0);
    
    
    waitKey(0);
    
    return 0;
}




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转载自blog.csdn.net/ringggr_h/article/details/79993490