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Jirka Borovec
@Borda
Image segmentation - general superpixel segmentation & center detection & region growing - https://borda.github.io/pyImSegm
Jirka Borovec
@Borda
blasco
@blasco
Hi, amazing project! I cannot find any documentation pertaining what features can be used:
dict_features (dict(list(str))) – list of features to be extracted
but no I cannot find further information in the docs

This is the most I've been able to find out:

dict_features = {'color': ['mean', 'std', 'median'],'tLM': ['mean']}

Jirka Borovec
@Borda
hi, thx for your interest, mind share a bit more what you want to achieve?
{'color': ('mean', 'std', 'energy', 'median', 'meanGrad'), 'tLM': ('mean', 'std', 'energy', 'median', 'meanGrad'), 'tLM_short': ('mean', 'std', 'energy')}
blasco
@blasco
Thank you very much for sharing the link. I'm just experimenting with segmentation libraries in python, I was just testing a sample image and was wondering if it was possible to perform the clustering making use of information coming from the texture
What does tLM stand for?
Jirka Borovec
@Borda
tLM stands for texture Leung-Malik (LM) filter bank, see https://www.robots.ox.ac.uk/~vgg/research/texclass/filters.html