image-processing
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Image Processing with Python
In astronomy scientists use single channel CCD images for their research. Color images are only created for publication purposes and for public outreach. There is a lot of very useful...
Hi all, as a followup to todays DataCarpentry onboarding I feel like a image processing workshop aimed at beginners should contain a short description of the image processing pipeline. Lacking...
We just tested episode 6 and were kind of puzzled by the key points: "Applying a low-pass blurring filter smooths edges and removes noise from an image" While I agree...
All of the main episodes have been updated to target Jupyter Notebooks, but for the extra episode on [Edge Detection](https://github.com/datacarpentry/image-processing/blob/gh-pages/_extras/edge-detection.md) this work is incomplete. This may block #218.
In #143, in reference to approximate intensity values calculated when an image is resized/rescaled, @uschille wrote > The note about how the intensities in the new image are different from...
Use this thread to collect links to existing resources that could be useful for inspiration, resusing content, suggesting to learners as further reading after the lesson, images that might make...
`jpeg` images are used a lot in this material. I might be living in my small bubble, but I personally, would never suggest or encourage anyone to convert their images...
Thought question - is there a possibility of changing the examples so that they work with the same images over and over and learners are building up a single more...
In [episode 4, lines 163-167](https://github.com/datacarpentry/image-processing/blob/gh-pages/_episodes/04-drawing.md?plain=1#L163), the learner is asked to create a blank canvas in three dimensions. Since it will have been a little while since the concept of multi-channel...
In https://datacarpentry.org/image-processing/06-blurring/ there is an animation showing a Gaussian blur in progress. This animation is really cool, but I'm concerned that it makes part of the episode inaccessible for people...