回复：Re: Code for the short course 'Image Processing using Python', @ IAMG2017
Hi Stefan: "segmentation lesson from the skimage_tutorial repo" did you means this?(https://github.com/scikit-image/skimage-tutorials/blob/master/lectures/4_seg...), I am writing a simple imageprocessing book, It may be useful for me. Best regardsYXDragon----- 原始邮件 ----- 发件人：Stefan van der Walt <stefanv@berkeley.edu> 收件人：Alexandre Fioravante de Siqueira <siqueiraaf@gmail.com>, scikit-image@python.org 主题：Re: [scikit-image] Code for the short course 'Image Processing using Python', @ IAMG2017 日期：2017年09月21日 05点16分 Hi Alex On Tue, Sep 19, 2017, at 21:25, Alexandre Fioravante de Siqueira wrote: as I said in an old previous e-mail, I presented a short course using scikit-image for processing microscopy images at IAMG2017 (short course 8 at <http://iamg2017.com/courses/>). An alpha version of the codes is now available; please feel free to check it at <https://github.com/alexandrejaguar/lectures/tree/master/2017/iamg2017>. Thanks for sharing these! Since it is still very raw, I'd be glad to receive your comments, suggestions and ideas! I'd say 1) stick to gray, viridis, and other reliable colormaps and 2) plot the found features so that they are easier to observe (currently just pixels inside a big image). You may also want to take a look at the segmentation lesson from the skimage_tutorial repo, which has a few sketches to clarify the workings of watershed. Best regards Stéfan _______________________________________________ scikit-image mailing list scikit-image@python.org https://mail.python.org/mailman/listinfo/scikit-image
I just noticed that the tutorials repo has no license. Oops! I suggest CC-BY. Technically we would need to ask all the contributors for their permission to put any new license on it. In the meantime, though, as the main author of that specific document, I grant Yan permission to use its contents. (Stéfan might technically need to step in also, but I think it safe to assume he’ll agree. =) A mention of the source in your book would be appreciated, Yan. =) Juan. On 21 Sep 2017, 4:25 PM +1000, imagepy@sina.com, wrote:
Hi Stefan: "segmentation lesson from the skimage_tutorial repo" did you means this?(https://github.com/scikit-image/skimage-tutorials/blob/master/lectures/4_seg...), I am writing a simple imageprocessing book, It may be useful for me.
Best regards YXDragon ----- 原始邮件 ----- 发件人：Stefan van der Walt <stefanv@berkeley.edu> 收件人：Alexandre Fioravante de Siqueira <siqueiraaf@gmail.com>, scikit-image@python.org 主题：Re: [scikit-image] Code for the short course 'Image Processing using Python', @ IAMG2017 日期：2017年09月21日 05点16分
Hi Alex
On Tue, Sep 19, 2017, at 21:25, Alexandre Fioravante de Siqueira wrote:
as I said in an old previous e-mail, I presented a short course using scikit-image for processing microscopy images at IAMG2017 (short course 8 at <http://iamg2017.com/courses/>). An alpha version of the codes is now available; please feel free to check it at <https://github.com/alexandrejaguar/lectures/tree/master/2017/iamg2017>.
Thanks for sharing these!
Since it is still very raw, I'd be glad to receive your comments, suggestions and ideas!
I'd say 1) stick to gray, viridis, and other reliable colormaps and 2) plot the found features so that they are easier to observe (currently just pixels inside a big image).
You may also want to take a look at the segmentation lesson from the skimage_tutorial repo, which has a few sketches to clarify the workings of watershed.
Best regards Stéfan
_______________________________________________ scikit-image mailing list scikit-image@python.org https://mail.python.org/mailman/listinfo/scikit-image _______________________________________________ scikit-image mailing list scikit-image@python.org https://mail.python.org/mailman/listinfo/scikit-image
I just noticed that the tutorials repo has no license. Oops! I suggest CC-BY. Technically we would need to ask all the contributors for their permission to put any new license on it. Thanks, I never noticed! All the lessons were contributed for teaching
On Wed, Sep 20, 2017, at 23:30, Juan Nunez-Iglesias wrote: purposes, so I don't imagine adding a license now would be a problem. CC-BY is fine, although we should also consider CC-0. Stéfan
participants (3)
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imagepy＠sina.com -
Juan Nunez-Iglesias -
Stefan van der Walt