i need to merge small regions
from the Label
product of scikit-image slic until reach an area regions threshold
the slic itself has a min_size_factor
which is not the solution in my case because it has unwanted affect at overall result of labeling.
the way i can calc regions area :
def pixelcount(regionmask):
return np.sum(regionmask)
props = regionprops(label_img, extra_properties=(pixelcount,))
there is a way same as cut_normalized function (which work on colors similarity of pre-calculated RAG) for regions area?
any help appreciated.
for someone who may encounter this :
build a RAG by scikit_image with "pixel count" as data attached to nodes
define "weight" equal to below code and merge normalize :
for x, y, d in graph.edges(data=True):
diff = graph.nodes[x]['pixel count'] - graph.nodes[y]['pixel count']
diff = np.linalg.norm(diff)