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SimpleBlobDetector will return the list of detected blobs in an image.

If you want to match the list of blobs detected in one image with the list of blobs detected in another image, you have to extract some relevant information that will characterize the local information around the blob location.

You have several possibilities in my opinion:

• use image moment on a window around the location
• use template matching on a window around the location
• use a keypoint descriptor like SIFT, SURF, etc.
• I found in the litterature: Shape Descriptors for Maximally Stable Extremal Regions

The matching procedure is simple enough to be implemented yourself but you can also try to fill the descriptors matrices like for ORB to exploit the built-in BruteForce matcher like you said if performance matters or if you don't want to recreate the wheel.

SimpleBlobDetector (as you can deduce from the name) will return the list of detected blobs in an image.

If you want to match the list of blobs detected in one image with the list of blobs detected in another image, you have to extract some relevant information that will characterize the local information around the blob location.

You have several possibilities in my opinion:

• use image moment on a window around the location
• use template matching on a window around the location
• use a keypoint descriptor like SIFT, SURF, etc.
• I found in the litterature: Shape Descriptors for Maximally Stable Extremal Regions
• ...

The matching procedure is simple enough to be implemented yourself but you can also try to fill the descriptors matrices like for ORB to exploit the built-in BruteForce matcher like you said if performance matters or if you don't want to recreate the wheel.

SimpleBlobDetector (as you can deduce from the name) will return the list of detected blobs in an image.

If you want to match the list of blobs detected in one image with the list of blobs detected in another image, you have to extract some relevant information that will characterize the local information around the blob location.

You have several possibilities in my opinion:

• use image moment on a window around the location
• use template matching on a window around the locationlocation (not a good idea as a blob is by definition a region with constant properties inside)
• use shape matching
• use a keypoint descriptor like SIFT, SURF, etc.etc. (not a good idea as well)
• I found in the litterature: Shape Descriptors for Maximally Stable Extremal Regions
• ...

The matching procedure is simple enough to be implemented yourself but you can also try to fill the descriptors matrices like for ORB to exploit the built-in BruteForce matcher like you said if performance matters or if you don't want to recreate the wheel.