opencv细化轮廓

1.源码实现

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

using namespace std;
using namespace cv;

int main()
{
    float maxValue = 0;
    Mat image, image_gray;

    image = imread("11.jpeg");

    cvtColor(image, image_gray, CV_RGB2GRAY);
    image_gray = ~image_gray;   //取反

    GaussianBlur(image_gray, image_gray, Size(5,5), 2); //滤波
    threshold(image_gray, image_gray, 20, 300, CV_THRESH_BINARY);   //阈值

    imwrite("image_gray.jpg", image_gray);

    Mat image_thin(image_gray.size(), CV_32FC1);
    Mat dist_show = Mat::zeros(image_gray.size(), CV_8UC1);

    distanceTransform(image_gray, image_thin, CV_DIST_L2, 3);   //距离变换

    for(int i=0; i<image_thin.rows; i++)
    {
        for(int j=0; j<image_thin.cols; j++)
        {
            if(image_thin.at<float>(i, j) > maxValue)
            {
                maxValue = image_thin.at<float>(i, j);
            }
        }
    }

    for(int i=0; i<image_thin.rows; i++)
    {
        for(int j=0; j<image_thin.cols; j++)
        {
            if(image_thin.at<float>(i, j) > maxValue / 3.5)
            {
                dist_show.at<uchar>(i, j) = 255;
            }
        }
    }

    imwrite("thin_image.jpg", dist_show);

    return 0;
}

2.编译源码

$ g++ -o test test.cpp -std=c++11 -I/usr/local/include/opencv4 -L/usr/local/lib -lopencv_core -lopencv_highgui -lopencv_imgproc  -Wl,-rpath=/usr/local/lib

3.运行及其结果

11.jpeg
image_gray.jpg
thin_image.jpg