OpenCV - How to match multi-instance of templates in image using C++ - c++

Question

I need some help trying to match non-normal blood cell with original cell.
After some searches I found SURF and SIFT feature extraction.
I have this template;
and this original image;
This is my code:
int main(int argc, char** argv)
{
Mat img_scene = imread("d:\\projimg\\last.jpg", CV_LOAD_IMAGE_GRAYSCALE);
Mat img_object = imread("d:\\projimg\\lasttmp.jpg", CV_LOAD_IMAGE_GRAYSCALE);
//Mat img_object = imread(argv[1], CV_LOAD_IMAGE_GRAYSCALE);
//Mat img_scene = imread(argv[2], CV_LOAD_IMAGE_GRAYSCALE);
if (!img_object.data || !img_scene.data)
{
std::cout << " --(!) Error reading images " << std::endl; return -1;
}
//-- Step 1: Detect the keypoints using SURF Detector
int minHessian = 200;
SurfFeatureDetector detector(minHessian);
std::vector<KeyPoint> keypoints_object, keypoints_scene;
detector.detect(img_object, keypoints_object);
detector.detect(img_scene, keypoints_scene);
//-- Step 2: Calculate descriptors (feature vectors)
SurfDescriptorExtractor extractor;
Mat descriptors_object, descriptors_scene;
extractor.compute(img_object, keypoints_object, descriptors_object);
extractor.compute(img_scene, keypoints_scene, descriptors_scene);
//-- Step 3: Matching descriptor vectors using FLANN matcher
FlannBasedMatcher matcher;
std::vector< DMatch > matches;
matcher.match(descriptors_object, descriptors_scene, matches);
matches.resize(10);
sort(matches.begin(), matches.end());
double max_dist = 0; double min_dist = 100;
//-- Quick calculation of max and min distances between keypoints
for (int i = 0; i <matches.size(); i++)
{
double dist = matches[i].distance;
if (dist < min_dist) min_dist = dist;
if (dist > max_dist) max_dist = dist;
}
printf("-- Max dist : %f \n", max_dist);
printf("-- Min dist : %f \n", min_dist);
//-- Draw only "good" matches (i.e. whose distance is less than 3*min_dist )
std::vector< DMatch > good_matches;
for (int i = 0; i < matches.size(); i++)
{
if (matches[i].distance < 3 * min_dist)
{
good_matches.push_back(matches[i]);
}
}
Mat img_matches;
drawMatches(img_object, keypoints_object, img_scene, keypoints_scene,
good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);
//-- Localize the object
std::vector<Point2f> obj;
std::vector<Point2f> scene;
for (int i = 0; i < good_matches.size(); i++)
{
//-- Get the keypoints from the good matches
obj.push_back(keypoints_object[good_matches[i].queryIdx].pt);
scene.push_back(keypoints_scene[good_matches[i].trainIdx].pt);
}
imshow("ii", img_matches);
waitKey();
return 0;
}
Can anyone help me to match all similar templates ?
Thanks all