opencv - How to getting a SOLID blob for each object using findcontours? -

i wanna segementing solid blobs each object extracted foreground , bounding each object box. code show many boxes bounding random blobs on 1 object, because blob not solid 1 object , there're many small blobs too.

here go code:

#include"stdafx.h" #include<vector> #include<iostream> #include<opencv2/opencv.hpp> #include<opencv2/core/core.hpp> #include<opencv2/imgproc/imgproc.hpp> #include<opencv2/highgui/highgui.hpp>  int main(int argc, char *argv[]) {     cv::mat frame;                                                   cv::mat fg;                                                      cv::mat thresholded;     cv::mat thresholded2;     cv::mat result;     cv::mat bgmodel;                                                 cv::namedwindow("frame");                                        cv::namedwindow("background model");                             cv::videocapture cap(0);                                          cv::backgroundsubtractormog2 bgs;                                     bgs.nmixtures = 2;                                               bgs.history = 60;         bgs.varthreshold = 15;         bgs.bshadowdetection = true;                                     bgs.nshadowdetection = 0;                                        bgs.ftau = 0.5;                                               std::vector<std::vector<cv::point>> contours;                     for(;;)     {         cap >> frame;                                                     cv::blur(frame,frame,cv::size(10,10));          bgs.operator()(frame,fg);                                    bgs.getbackgroundimage(bgmodel);                              cv::erode(fg,fg,cv::mat());                                  cv::dilate(fg,fg,cv::mat());                                  cv::threshold(fg,thresholded,70.0f,255,cv_thresh_binary);         cv::threshold(fg,thresholded2,70.0f,255,cv_thresh_binary);          cv::findcontours(thresholded,contours,cv_retr_external,cv_chain_approx_none);         cv::cvtcolor(thresholded2,result,cv_gray2rgb);          int cmin= 50;          int cmax= 10000;          std::vector<std::vector<cv::point>>::iterator itc=contours.begin();          while (itc!=contours.end()) {                        if (itc->size() < cmin || itc->size() > cmax){                     itc= contours.erase(itc);} else{                          std::vector<cv::point> pts = *itc;                         cv::mat pointsmatrix = cv::mat(pts);                         cv::scalar color( 0, 255, 0 );                          cv::rect r0= cv::boundingrect(pointsmatrix);                         cv::rectangle(result,r0,color,2);                          ++itc;                     }         }          cv::imshow("frame",result);         cv::imshow("background model",bgmodel);         if(cv::waitkey(30) >= 0) break;     }     return 0; } 

and result here: frame

so how can segmenting solid blob each object found extracted foreground, , bounding object on 1 box?

a solid blob mean solid white blob here: xxx

i'll apreciating here.

nb: sorry bad english. :)

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this edited code!

#include"stdafx.h" #include<vector> #include<iostream> #include<opencv2/opencv.hpp> #include<opencv2/core/core.hpp> #include<opencv2/imgproc/imgproc.hpp> #include<opencv2/highgui/highgui.hpp>  int main(int argc, char *argv[]) {     cv::mat frame;                                                   cv::mat fg;          cv::mat blurred;     cv::mat thresholded;     cv::mat thresholded2;     cv::mat result;     cv::mat bgmodel;                                                 cv::namedwindow("frame");                                        cv::namedwindow("background model");                             cv::videocapture cap(0);          cv::backgroundsubtractormog2 bgs;                                     bgs.nmixtures = 2;                                               bgs.history = 60;         bgs.varthreshold = 15;         bgs.bshadowdetection = true;                                     bgs.nshadowdetection = 0;                                        bgs.ftau = 0.5;                                               std::vector<std::vector<cv::point>> contours;                     for(;;)     {         cap >> frame;                                                     cv::blur(frame,blurred,cv::size(10,10));          bgs.operator()(blurred,fg);                                  bgs.getbackgroundimage(bgmodel);                                              cv::threshold(fg,thresholded,70.0f,255,cv_thresh_binary);         cv::threshold(fg,thresholded2,70.0f,255,cv_thresh_binary);          cv::mat element50(50,50,cv_8u,cv::scalar(1));         cv::morphologyex(thresholded,thresholded,cv::morph_close,element50);         cv::morphologyex(thresholded2,thresholded2,cv::morph_close,element50);          cv::findcontours(thresholded,contours,cv_retr_external,cv_chain_approx_simple);         cv::cvtcolor(thresholded2,result,cv_gray2rgb);          int cmin= 50;          int cmax= 10000;          std::vector<std::vector<cv::point>>::iterator itc=contours.begin();          while (itc!=contours.end()) {                     if (itc->size() < cmin || itc->size() > cmax){                     itc= contours.erase(itc);} else{                           std::vector<cv::point> pts = *itc;                         cv::mat pointsmatrix = cv::mat(pts);                         cv::scalar color( 0, 255, 0 );                          cv::rect r0= cv::boundingrect(pointsmatrix);                         cv::rectangle(result,r0,color,2);                          ++itc;                     }         }          cv::imshow("frame",result);         cv::imshow("background model",bgmodel);         if(cv::waitkey(30) >= 0) break;     }     return 0; } 

and result here: frame

thanks elactic. :)

you can try merge blogs morphological closing (which erosion of dilation of binary image). can use cv functions erode , dilate that.

this tutorial should you. assume still have filter blobs size after that.