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EMBL BioImage Data Analysis

EuBIAS

NEUBIAS

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@EntraCod @COSTprogramme @NEUBIAS_COST Yes everyone indeed. Thanks for the suggestion.
About 2 hours, 20 mins ago by: Kota Miura (@cmci_)

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RT @SimonFlyvbjerg: Fresh off Springer's open access press: "Bioimage Data Analysis Workflows" - the book! #BioImageAnalysis https://t.co
About 7 hours, 4 mins ago by: Kota Miura (@cmci_)

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@COSTprogramme @NEUBIAS_COST Thanks to the authors and editors: @perrinepgil Sébastien Tosi Julien Colombelli… https://t.co/GVlRWoqGxr
About 7 hours, 46 mins ago by: Kota Miura (@cmci_)

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Now online, "Bioimage Data Analysis Workflow". https://t.co/stW12drKaS Thanks to the support by @COSTprogramme ,… https://t.co/pgJck70nW6
About 7 hours, 53 mins ago by: Kota Miura (@cmci_)

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RT @Datascience__: Dynamic allocation of computational resources for deep learning-enabled cellular image analysis with Kubernetes https://…
About 3 days, 8 hours ago by: Kota Miura (@cmci_)

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RT @mariana_deniz: Many thanks to the @NEUBIAS_COST instructors and organizers for an exciting and stimulating course on image analysis 😁😁…
About 3 days, 13 hours ago by: Kota Miura (@cmci_)
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CMCI weblog

Python IP cookbook on the way

Started to write Python Image Processing Cookbook.

http://cmci.embl.de/documents/110816pyip_cooking

It's a bit surprising that there is not much information about Python Image Processing, considering it's potential. Most of the tutorial pages are about PIL module which only allows you to deal with 8-bit images.

I have been comparing Python IP and Java IP, and think that these two worlds could be complement to each other. Java is much stronger with Image Processing libraries but weak with statistics and numerical treatments. For the latters, Python is much more efficient. Python is also better for plotting graphs in 2D and 3D.

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blogtng/blogtop.txt · Last modified: 2016/05/24 05:46 (external edit)