Mark point of interest in C++ [closed] - c++

Question

Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 7 years ago.
Improve this question
My project's goal is to detect the lung's nodules , after filtering and classification i got a binary image like this:
my problem is i don't know how to mark these points of interest on the original image . In matlab ,i can do it easily with [hold on-off] a loop and some plot() function . But how do i do that in C++ , i don't mean to translate matlab code to C++ , i just need to mark these PoIs on the original image by any mean necessary .
Here is the result i want :
i did it in Matlab
EDIT : I already have the points's positions from my program (as you can see in the first image) all i want to do is draw them on the original image like the second one.

Answer 1

Try this...
from your binary image you can extract contours.
Then either draw the contours directly, or extract bounding circles that cover the whole contour.
I'll present both methods.
int main()
{
cv::Mat input = cv::imread("../inputData/markMatlab.png");
cv::Mat gray;
cv::cvtColor(input, gray, CV_BGR2GRAY);
cv::Mat binaryImage = gray>0;
cv::imshow("binary image", binaryImage);
// here you start
std::vector<std::vector<cv::Point> > contours;
cv::findContours(binaryImage, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
// either this:
cv::Mat inputBlobs = input.clone(); // create output image
for(unsigned int i=0; i<contours.size(); ++i)
{
cv::Point2f blobCenter;
float blobRadius;
cv::minEnclosingCircle(contours[i], blobCenter, blobRadius);
cv::circle(inputBlobs, blobCenter, blobRadius, cv::Scalar(0,0,255), 2);
}
// or this one:
cv::Mat inputContours = input.clone(); // create output image
for(unsigned int i=0; i<contours.size(); ++i)
{
cv::drawContours(inputContours, contours, i, cv::Scalar(0,0,255), 2);
}
cv::imshow("input", input);
cv::imshow("input blobs", inputBlobs);
cv::imshow("input contours", inputContours);
cv::imwrite("../outputData/markMatlab.png", input);
cv::imwrite("../outputData/markMatlabBlobs.png", inputBlobs);
cv::imwrite("../outputData/markMatlabContours.png", inputContours);
cv::waitKey(0);
return 0;
}
bounding circles:
drawing contours directly:
just use your original image as input for the drawing functions.

Answer 2

Have you tried:
Mat image;
image = imread(filename, CV_LOAD_IMAGE_COLOR);
And then using ellipse on it?
On maybe, if you do not know the coordinates, but you just have the resulting filtered image using blend