opencv提取不规则图像中心

效果如下:

根据轮廓面积筛除了大轮廓和很小的轮廓,大家可以用其它方法实现自己想要的效果

#include <iostream>
#include <opencv2/opencv.hpp>
#include <vector>
#include <string>
using namespace cv;
using namespace std;
int main() {
  // 图像路径
  std::string path = "/test_image/test.png";

  // 提取文件名
  // 1.查找最后一个斜杠的位置
  size_t lastSlash = path.find_last_of('/');
  // 2.查找文件名开始的位置
  size_t start = lastSlash != std::string::npos ? lastSlash + 1 : 0;
  // 3.查找文件名结束的位置
  size_t end = path.find_last_of('.');
  // 4.完成文件名提取
  std::string filename = path.substr(start, end - start);

  Mat image = imread(path, IMREAD_GRAYSCALE);
  if (image.empty()) {
    cout << "无法读取图像文件" << endl;
    return -1;
  }

  // 二值化图像
  Mat binary;
  Mat colorImage;
  Mat colorImageBinary;
  threshold(image, binary, 240, 255, THRESH_BINARY);
  imshow("binary_image", binary);

  // 查找轮廓
  vector<vector<Point>> contours;
  findContours(binary, contours, RETR_LIST, CHAIN_APPROX_SIMPLE);
  vector<Point> centerPoints;
  // 提取轮廓的中心点
  for (size_t i = 0; i < contours.size(); i++) {
    double area_i = cv::contourArea(contours[i], false);
    if (area_i > 500 || area_i < 20) {
      continue;
    }
    // double area1 = cv::contourArea(contours[i]);
    // cout << "第" << i << "轮廓面积=" << area1 << endl;
    // 计算轮廓的矩
    Moments moments = cv::moments(contours[i]);

    // 计算轮廓的中心点
    Point center(moments.m10 / moments.m00, moments.m01 / moments.m00);
    centerPoints.push_back(center);
  }
  // 创建彩色图像,否则Scalar()函数只能描述灰度信息
  cvtColor(image, colorImage, COLOR_GRAY2BGR);
  cvtColor(binary, colorImageBinary, COLOR_GRAY2BGR);
  for (size_t i = 0; i < centerPoints.size(); i++) {
    // 在图像上绘制中心点
    circle(colorImage, centerPoints[i], 1, Scalar(0, 0, 255), -1);
    circle(colorImageBinary, centerPoints[i], 1, Scalar(0, 0, 255), -1);
  }
  // 显示结果
  std::string image_name1 = filename + "_result1.png";
  std::string image_name2 = filename + "_result2.png";
  imshow("Contours1", colorImage);
  imshow("Contours2", colorImageBinary);
  imwrite(image_name1, colorImage);
  imwrite(image_name2, colorImageBinary);
  waitKey(0);

  return 0;
}