Revision history - OpenCV Q&A Forum

If you add an image it'll be more clear. I have only a C++ code to detect colors and draw bounding box search in the internet and you will find a lot of codes with Python doing the same job.

//=====================code==================== if you want to detect yellow blocks you can test this : //Convert your image to HSV cvtColor(im, imHSV, COLOR_BGR2HSV); //Select yellow part of the image inRange(imHSV, Scalar(0, 208, 186), Scalar(47, 255, 255), mask1); //Detect the contours of the yellow parts vector<vector<point>> contours; // Vector for storing contours vector<point> Ncontours; findContours(mask1, contours, RETR_CCOMP, CHAIN_APPROX_SIMPLE); // Find the contours in the image

    for (size_t i = 0; i < contours.size(); i++) // iterate through each contour.
    {
        double area = contourArea(contours[i]);  //  Find the area of contour

        if (area > largest_area)
        {
            largest_area = area;
            largest_contour_index = i;               //Store the index of largest contour
            bounding_rect = boundingRect(contours[i]); // Find the bounding rectangle for biggest contour
            Ncontours = contours[i];
        }
    }

//In this code i serch the largest_area you cab modifie the code to get all the contours present in you code

If you add an image it'll be more clear. I have only a C++ code to detect colors and draw bounding box search in the internet and you will find a lot of codes with Python doing the same job.

//=====================code==================== if you want to detect yellow blocks you can test this : //Convert your image to HSV cvtColor(im, imHSV, COLOR_BGR2HSV); //Select yellow part of the image inRange(imHSV, Scalar(0, 208, 186), Scalar(47, 255, 255), mask1); //Detect the contours of the yellow parts vector<vector<point>> vector<vector<Point>> contours; // Vector for storing contours vector<point> vector<Point> Ncontours; findContours(mask1, contours, RETR_CCOMP, CHAIN_APPROX_SIMPLE); // Find the contours in the image image for (size_t i = 0; i < contours.size(); i++) // iterate through each contour. { double area = contourArea(contours[i]); // Find the area of contour if (area > largest_area) { largest_area = area; largest_contour_index = i; //Store the index of largest contour bounding_rect = boundingRect(contours[i]); // Find the bounding rectangle for biggest contour Ncontours = contours[i]; } } //In this code i serch the largest_area you cab modifie the code to get all the contours present in you code code

If you add an image it'll be more clear. I have only a C++ code to detect colors and draw bounding box search in the internet and you will find a lot of codes with Python doing the same job.

//=====================code====================
//===================== code ====================
   if you want to detect yellow  blocks you can test this : 
//Convert your image to HSV
 cvtColor(im, imHSV, COLOR_BGR2HSV);
//Select yellow part of the image
inRange(imHSV, Scalar(0, 208, 186), Scalar(47, 255, 255), mask1); 
   //Detect the contours of the yellow parts
     vector<vector<Point>> contours; // Vector for storing contours
        vector<Point> Ncontours;
        findContours(mask1, contours, RETR_CCOMP, CHAIN_APPROX_SIMPLE); // Find the contours in the image

        for (size_t i = 0; i < contours.size(); i++) // iterate through each contour.
        {
            double area = contourArea(contours[i]);  //  Find the area of contour

            if (area > largest_area)
            {
                largest_area = area;
                largest_contour_index = i;               //Store the index of largest contour
                bounding_rect = boundingRect(contours[i]); // Find the bounding rectangle for biggest contour
                Ncontours = contours[i];
            }
        }

//In this code i serch the largest_area you cab modifie the code to get all the contours present in you code

If you add an image it'll be more clear. I have only a C++ code to detect colors and draw bounding box search in the internet and you will find a lot of codes with Python doing the same job.

 //===================== code ====================
    if you want to detect yellow  blocks you can test this : 
:
//Convert your image to HSV
 cvtColor(im, imHSV, COLOR_BGR2HSV);
//Select yellow part of the image
inRange(imHSV, Scalar(0, 208, 186), Scalar(47, 255, 255), mask1); 
   mask1);
//Detect the contours of the yellow parts
 vector<vector<Point>> contours; // Vector for storing contours
 vector<Point> Ncontours;
 findContours(mask1, contours, RETR_CCOMP, CHAIN_APPROX_SIMPLE); // Find the contours in the image

 for (size_t i = 0; i < contours.size(); i++) // iterate through each contour.
 {
     double area = contourArea(contours[i]);  //  Find the area of contour

     if (area > largest_area)
     {
         largest_area = area;
         largest_contour_index = i;               //Store the index of largest contour
         bounding_rect = boundingRect(contours[i]); // Find the bounding rectangle for biggest contour
         Ncontours = contours[i];
     }
 }

//In this code i serch the largest_area you cab modifie the code to get all the contours present in you code

If you add an image it'll be more clear. I have only a C++ code to detect colors and draw bounding box search in the internet and you will find a lot of codes with Python doing the same job.

    //===================== code ====================
     if you want to detect yellow  blocks you can test this :
//Convert your image to HSV
cvtColor(im, imHSV, COLOR_BGR2HSV);
//Select yellow part of the image
inRange(imHSV, Scalar(0, 208, 186), Scalar(47, 255, 255), mask1);
//Detect the contours of the yellow parts
vector<vector<Point>> contours; // Vector for storing contours
vector<Point> Ncontours;
 // Find the contours in the image
findContours(mask1, contours, RETR_CCOMP, CHAIN_APPROX_SIMPLE); // Find the contours in the image
 
for (size_t i = 0; i < contours.size(); i++) // iterate through each contour.
{
    double area = contourArea(contours[i]);  //  Find the area of contour

    if (area > largest_area)
    {
        largest_area = area;
        largest_contour_index = i;               //Store the index of largest contour
        bounding_rect = boundingRect(contours[i]); largest_contour_index = i;
             // Find the bounding rectangle for biggest contour
contour               
        bounding_rect = boundingRect(contours[i]);
        Ncontours = contours[i];
    }
}

//In this code i serch the largest_area you cab modifie the code to get all the contours present in you code

If you add an image it'll be more clear. I have only a C++ code to detect colors and draw bounding box search in the internet and you will find a lot of codes with Python doing the same job.

    //===================== code ====================
     if you want to detect yellow  blocks you can test this :
//Convert your image to HSV
cvtColor(im, imHSV, COLOR_BGR2HSV);
//Select yellow part of the image
inRange(imHSV, Scalar(0, 208, 186), Scalar(47, 255, 255), mask1);
//Detect the contours of the yellow parts
vector<vector<Point>> contours; // Vector for storing contours
vector<Point> Ncontours;
 // Find the contours in the image
findContours(mask1, contours, RETR_CCOMP, CHAIN_APPROX_SIMPLE); 

for (size_t i = 0; i < contours.size(); i++) // iterate through each contour.
{
    double area = contourArea(contours[i]);  //  Find the area of contour

    if (area > largest_area)
    {
        largest_area = area;
            //Store the index of largest contour
        largest_contour_index = i;
             // Find the bounding rectangle for biggest contour               
        bounding_rect = boundingRect(contours[i]);
        Ncontours = contours[i];
    }
}

//In this code i serch the largest_area you cab can modifie the code to get all the contours present in you code

Revision history [back]