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Show and tell: how are you using scikit-image? #4375
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So let me start with the work done by @BBarbara-fr:
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I gather several applications as they are using similar techniques.
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Hey everyone, |
Hi all, I'm a casual
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In the process I had to implement a morphological thinning operation which I contributed and is now the We have over 1.2bn images of plankton in our database and we plan to run this code on all of them! |
We've been making use of scikit-image for processing ultrasound C-scan images with a view to detecting defects in composite aerospace components. We've written a light wrapper around the various processing functions to make stringing them together into pipelines easier. |
Came across this old issue today. It's great to hear how people are making use of scikit-image. I just pinned this to the issues page to increase visibility for others how may also be interested in providing feedback on use cases. |
@emmanuelle How it is different from OpenCV, I am new to scikit Image,Is it an alternative to OpenCV ? |
@Anchaliya75 the main differences between openCV and scikit-image are:
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Hello skimagers! This issue is to ask you to share how you are using scikit-image. We would like you to explain your use cases and image processing workflows.
Why are we asking this, and how will the information be used? Mostly to know if our documentation is relevant to your applications, and how it could be improved.
Here is a possible template of information to share, but feel free to organize the information differently, to answer only some of the questions (we understand that there might be confidentiality issues and information you cannot disclose), or to provide other information.
How to answer: just fill the next "Leave a comment" field. You will be able to update the field if you wish (click on the three dots in the bar, then Edit), so don't worry too much about making it perfect the first time.
Thank you so much for helping us to improve scikit-image!
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