計數感興趣區域的圖片

Question

我需要數條數（標註）在下面的照片：

我有幾百張照片，我需要分析和我很好奇，如果有自動隔離感興趣區域併爲每張照片執行簡單計數的方法。我幾乎沒有圖像分析的經驗，任何建議讓我開始將不勝感激。

Answer 1

請運行下面的代碼，我已經爲你工作。它大致足夠接近並調整它。祝你好運..！

#include <opencv2/core/core.hpp> 
#include <opencv2/highgui/highgui.hpp> 
#include <opencv2/imgproc/imgproc.hpp> 
#include <iostream> 
#include "tchar.h" 
using namespace cv; 
using namespace std; 

#define INPUT_FILE    "u.jpg" 
#define OUTPUT_FOLDER_PATH  string("") 

int _tmain(int argc, _TCHAR* argv[]) 
{ 
    Mat large = imread(INPUT_FILE); 
    Mat rgb; 
    // downsample and use it for processing 
    pyrDown(large, rgb); 
    Mat small; 
    cvtColor(rgb, small, CV_BGR2GRAY); 
    // morphological gradient 
    Mat grad; 
    Mat morphKernel = getStructuringElement(MORPH_ELLIPSE, Size(2, 2)); 
    Mat morphKernel1 = getStructuringElement(MORPH_ELLIPSE, Size(1, 1)); 
    morphologyEx(small, grad, MORPH_GRADIENT, morphKernel); 
    // binarize 
    Mat bw; 
    threshold(grad, bw, 5.0, 50.0, THRESH_BINARY | THRESH_OTSU); 
    // connect horizontally oriented regions 
    Mat connected; 
    morphKernel = getStructuringElement(MORPH_RECT, Size(5, 1)); 
    morphologyEx(bw, connected, MORPH_CLOSE, morphKernel); 
    morphologyEx(bw, connected, MORPH_OPEN, morphKernel1); 
    // find contours 
    Mat mask = Mat::zeros(bw.size(), CV_8UC1); 
    vector<vector<Point>> contours; 
    vector<Vec4i> hierarchy; 
    findContours(connected, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE, Point(0, 0)); 
    // filter contours 
    int y=0; 
    for(int idx = 0; idx >= 0; idx = hierarchy[idx][0]) 
    { 
     Rect rect = boundingRect(contours[idx]); 
     Mat maskROI(mask, rect); 
     maskROI = Scalar(0, 0, 0); 
     // fill the contour 
     drawContours(mask, contours, idx, Scalar(255, 255, 255), CV_FILLED); 

     double a=contourArea(contours[idx],false); 

      if(a> 75) 

     { 
      rectangle(rgb, rect, Scalar(0, 255, 0), 2); 
      y++; 
     } 
     imshow("Result1",rgb); 
    } 
    cout<<" The number of elements"<<y<< endl; 
    imshow("Result",mask); 
    imwrite(OUTPUT_FOLDER_PATH + string("rgb.jpg"), rgb); 
    waitKey(0); 
    return 0; 
}