I found skimage's watershed is very slow, So I wrote one here:https://github.com/Image-Py/imagepy/blob/master/imagepy/ipyalg/hydrology/wat... 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@berkeley.edu> 收件人：scikit-image <scikit-image@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 _______________________________________________ scikit-image mailing list scikit-image@python.org https://mail.python.org/mailman/listinfo/scikit-image