OpenCV实现图片批号效期提取

#pragma once
#include <iostream>
#include<opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int main(int argc, char** argv) {
  Mat src = imread("E:/DCIM/testdate/pic1.png");

  imshow("src", src);

  Mat gray, dst;
  //转换灰度图
  cvtColor(src, gray, COLOR_BGR2GRAY);
  //高斯模糊
  GaussianBlur(gray, gray, Size(3, 3), 0.5, 0.5);

  imshow("gray", gray);


  //Canny边缘检测
  Canny(gray, dst, 50, 120);
  imshow("Canny", dst);

  Mat dst2;
  //使用膨胀操作，kernel定义的要长一点
  Mat kernel = getStructuringElement(MORPH_RECT, Size(30, 5));
  morphologyEx(dst, dst2, MORPH_DILATE, kernel);

  imshow("morph", dst2);

  //查找轮廓，只找最外侧轮廓
  vector<vector<Point>> contours;
  findContours(dst2, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);

  RNG rng(12345);
  Mat dstzero = Mat::zeros(dst2.size(), CV_8UC3);
  for (int i = 0; i < contours.size(); ++i) {
    //判断符合区域
    RotatedRect rRect = minAreaRect(contours[i]);
    Rect rect = rRect.boundingRect();

      Scalar color = Scalar(rng.uniform(0, 255), 
        rng.uniform(0, 255), rng.uniform(0, 255));
      rectangle(dstzero, rect, color);
  }
  imshow("zero", dstzero);

  for (int i = 0; i < contours.size(); ++i) {
    //判断符合区域
    RotatedRect rRect = minAreaRect(contours[i]);
    Rect rect = rRect.boundingRect();
    if (rect.width / rect.height < 2) {
      Mat cutmat = src(rect);
      imshow("dstzero"+i, cutmat);
    }
  }

  waitKey(0);
  return 0;
}