Contributing new algorithms to skimage

Hi, I was wondering does skimage learn accept new image processing algorithms? We want to contribute Phase Stretch Transform (PST) to skimage. PST is a physics-inspired algorithm for feature detection. It's a successful algorithm which has received lots of attention since it was proposed. You can find more information on this wiki page: https://en.wikipedia.org/wiki/Phase_stretch_transform and this github page https://github.com/JalaliLabUCLA/Image-feature-detection-using-Phase-Stretch... Looking forward to your reply. Thanks Best, Yiming -- Yiming Zhou Department of Electrical and Computer Engineering University of California, Los Angeles

Dear Yiming, On Tue, Oct 5, 2021, at 20:51, YIMING ZHOU wrote:
I was wondering does skimage learn accept new image processing algorithms? We want to contribute Phase Stretch Transform (PST) to skimage. PST is a physics-inspired algorithm for feature detection. It's a successful algorithm which has received lots of attention since it was proposed.
You can find more information on this wiki page: https://en.wikipedia.org/wiki/Phase_stretch_transform
Thank you for proposing this addition to scikit-image. The algorithm does look interesting, but unfortunately it is also patent encumbered: https://patents.google.com/patent/US20170140545 scikit-image has a firm policy of not including such algorithms, since we cannot expect our users to verify which parts of the library they may or may not use. Specifically, the license terms in your repository are not compatible with the scikit-image license. It states: """ The source code provided in the repository is for research purposes only. A license must be obtained from the University of California, Los Angeles for any commercial applications. The software is subject to a pending US patent. """ Best regards, Stéfan
participants (2)
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Stefan van der Walt
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YIMING ZHOU