Opencv3從頭開始（六）形態學操作之梯度、頂帽、黑帽

梯度：膨脹圖像-腐蝕圖像。

	//梯度
    Mat image_gradit;
    morphologyEx(image_thre,image_gradit,MORPH_GRADIENT,element);
    imshow("梯度",image_gradit);

頂帽：原圖與原圖的開運算的差值圖像，突出明亮區域。

    //頂帽
    Mat image_top_hat;
    morphologyEx(image_thre,image_top_hat,MORPH_TOPHAT,element);
    imshow("頂帽",image_top_hat);

黑帽：閉運算與原圖的差值圖像，突出較暗區域。

    //黑帽
    Mat image_black_hat;
    morphologyEx(image_thre,image_black_hat,MORPH_BLACKHAT,element);
    imshow("黑帽",image_black_hat);

代碼如下：

/*
形態學操作初步
梯度、頂帽、黑帽
*/
#include<opencv2/opencv.hpp>
#include<opencv2/imgproc.hpp>
#include<opencv2/imgcodecs.hpp>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>
#include<iostream>

using namespace std;
using namespace cv;

int main(int argc, char* argv[]){
    Mat image=imread("倉老師.jpg");
    Mat image_gray,image_thre;
    //二值化
    cvtColor(image,image_gray,COLOR_BGR2GRAY);
    threshold(image_gray,image_thre,125,255,THRESH_BINARY);
    imshow("倉老師",image);
    imshow("倉老師黑白",image_thre);
    //內核,可選矩形MORPH_RECT、交叉形MORPH_CROSS、橢圓MORPH_ELLIPSE
    Mat element=getStructuringElement(MORPH_ELLIPSE,Size(5,5),Point(-1,-1));
    //梯度
    Mat image_gradit;
    morphologyEx(image_thre,image_gradit,MORPH_GRADIENT,element);
    imshow("梯度",image_gradit);
    //黑帽
    Mat image_black_hat;
    morphologyEx(image_thre,image_black_hat,MORPH_BLACKHAT,element);
    imshow("黑帽",image_black_hat);
    //頂帽
    Mat image_top_hat;
    morphologyEx(image_thre,image_top_hat,MORPH_TOPHAT,element);
    imshow("頂帽",image_top_hat);
    waitKey(0);
    return 0;
}