scikit-image: segmentation and regionprops
We show how to segment a photo of coins, separating the foreground from the background.
Our process is to denoise the image (using a median filter), and to then apply watershed segmentation. The resulting segments are cleaned up, using region properties and K-means clustering.
There are certainly many other ways of approaching this problem, e.g. region agglomeration with region adjacency graphs, supervised clustering, etc. Please share your ideas in the comments below!
Видео scikit-image: segmentation and regionprops канала Stéfan van der Walt
Our process is to denoise the image (using a median filter), and to then apply watershed segmentation. The resulting segments are cleaned up, using region properties and K-means clustering.
There are certainly many other ways of approaching this problem, e.g. region agglomeration with region adjacency graphs, supervised clustering, etc. Please share your ideas in the comments below!
Видео scikit-image: segmentation and regionprops канала Stéfan van der Walt
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