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RT @ArkThul: Finally out !! A little chapter : Structure and Fluorescence Intensity Measurements in Biofilms In the book: Computer Optimize…
About 2 days, 3 hours ago by: Kota Miura (@cmci_)

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RT @BioImagingUK: @UniofOxford is recruiting a Informatics Scientist/Developer duties will include developing analysis methodologies ba…
About 2 days, 3 hours ago by: Kota Miura (@cmci_)

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RT @AJPathology: #Pathology Image Analysis Using Segmentation Deep Learning Algorithms. FREE Review in AJP's newest topic area, #MachineLea…
About 2 days, 14 hours ago by: Kota Miura (@cmci_)

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RT @iamkenneyor: IMAGING AFRICA Microscopy and Image Analysis Workshop for African Researchers There is no application or registration fee…
About 2 days, 14 hours ago by: Kota Miura (@cmci_)

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RT @leandroscholz: BIAFLOWS: A collaborative framework to benchmark bioimage analysis workflows https://t.co/RqZRffE3PS
About 3 days, 11 hours ago by: Kota Miura (@cmci_)

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RT @christlet: 🚨 LUT alert 🌈 Turbo, a new and improved rainbow LUT from @GoogleAI: https://t.co/FPaQ2zZtzE Will get it into NeuroCyto LUTs…
About 4 days, 7 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 05:46 (external edit)