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EMBL BioImage Data Analysis

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Timeline of @cmci_

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RT @Fr_BioImaging: #onlinetraining on "Image Processing for Correlated and Multimodal Imaging Techniques" organized by @COMULIS_COST Regist…
About 9 hours, 36 mins ago by: Kota Miura (@cmci_)

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RT @jytinevez: New preprinton combining #TrackMate and #StarDist in the #ZeroCostDL4Mic framework. Work led by Guillaume and excellent col…
About 9 hours, 40 mins ago by: Kota Miura (@cmci_)

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RT @LauLauThom: Just updated the Roi 1-click tools with a cool feature 🥳 Keep the left-click maintained to preview the roi and adjust its p…
About 2 days, 16 hours ago by: Kota Miura (@cmci_)

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@KuglerElisabeth @martinjones78 @dgaboriau @WilsonAdams_ @focalplane_jcs @AcademicChatter @NEUBIAS_COSThttps://t.co/V7G5Ibfe28
About 3 days, 4 hours ago by: Kota Miura (@cmci_)

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RT @KuglerElisabeth: How can #developers help wet lab #scientists to use their analysis approaches? What's your thoughts? Interesting que…
About 3 days, 4 hours ago by: Kota Miura (@cmci_)

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RT @paqio: Exciting new all-optical data, fresh off a new prototype! Showing off beautiful holographic optogenetic activation of the cir…
About 4 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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Weblog Archive

blogtng/blogtop.txt · Last modified: 2016/05/24 12:46 (external edit)