Hi,
I am trying to identify/label blobs in an image. Given a binarized image like this:
I want the centroid, area and other morphological parameters of each of the white spots.
I currently have code that works well using findContours and ApproxPolyDP but I want to write code that uses GPU processing. I have tried using the Hough transform but, since my objects are not necessarily round, it does not perform very well.
I have a pretty good idea how to get the required parameters IF I could "paint" each of the spots a different "color" .
I have tried using cv::cuda::connectivityMask and cv::cuda::labelComponents to do this, but there seems to be no documentation at all regarding these routines, so I am guessing how to use them.
Invoking cv::cuda::connectivityMask(GPUBinaryImage, GPUConnectedComponentMask,0 ,2);
I get the following image:
It appears that all pixels have a value of 15 except for those on the boundary of each blob which have lower values.
Invoking cv::cuda::labelComponents(GPUConnectedComponentMask, GPULabels,8);
I get a 32bit image with the 1st and 2nd byte looking something like:
How should I be using these functions?
Is there anything better I should be using?
guy