c++opencvcomputer-visionroibinary-image
Detect High density pixel areas in a binary image
I am doing background subtraction, and I obtain a binary image with foreground objects and with some noise.
I want to obtain a ROI for each object on the binary image and them analyze it to ensure that is the object that I want.
How do I segment only the areas with high pixel intensity (objects)?
One example of obtained image:
Solution
Have a look at openCv simpleBlobDetector, there are several configurable parameters to it and tons of tutorials online.
The documentation can be found here: http://docs.opencv.org/trunk/d0/d7a/classcv_1_1SimpleBlobDetector.html
Alternatively you could just convolve a white rectangle across multiple scale spaces and return the median values over each scale space.
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