[scikit-image] 回复： Comparison of watershed implementations

[imagepy at sina.com]

I found skimage's watershed is very slow, So I wrote one here:https://github.com/Image-Py/imagepy/blob/master/imagepy/ipyalg/hydrology/watershed.py
it is only for 8-bit image(or int image), but I think we can do a histogram equalization, than convert to int image, do watershed.
the performance is OK. a 3d image, which skimage run more than 20 minutes and crash down, my algrthm cost 30s.
----- 原始邮件 -----
发件人：Stefan van der Walt <stefanv at berkeley.edu>
收件人：scikit-image <scikit-image at python.org>
主题：[scikit-image] Comparison of watershed implementations
日期：2018年10月27日 05点48分


I wish the authors also compared accuracy, but here are their
performance benchmarks.  No surprises :)
https://www.mdpi.com/2313-433X/4/10/123/pdf
"An Overview of Watershed Algorithm Implementations in Open Source Libraries",
J. Imaging 2018, 4(10), 123; https://doi.org/10.3390/jimaging4100123,
Anton S. Kornilov and Ilia V. Safonov.
Best regards,
Stéfan
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