babakint
Newbie level 1
I have some problem understanding how mean shift segmentation works.
The four images below show multi-spectral images from a river. the question is how I can segment a 3*3 pixel area of the image below using mean shift algorithm in the 4d feature space. the image has to be segmented into 2 clusters.
for the solution I have to decide the hr and hs kernel size values and also find to what value the datapoints converge using a uniform kernel.
can anyone help me please?
thank you very much
The four images below show multi-spectral images from a river. the question is how I can segment a 3*3 pixel area of the image below using mean shift algorithm in the 4d feature space. the image has to be segmented into 2 clusters.
for the solution I have to decide the hr and hs kernel size values and also find to what value the datapoints converge using a uniform kernel.
can anyone help me please?
thank you very much