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RT @christlet: After imaging on a LEGO light-sheet with a LEGO pump, you can visualize the data in a LEGO viewer #LEGOallthethings https://…
About 3 hours, 14 mins ago by: Kota Miura (@cmci_)

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RT @jnuneziglesias: STARmap is amazing! But: Groundbreaking paper ✅ Open access ❌ Uses Ilastik ✅ Cites Ilastik ❌ Uses UMAP ✅ Cites UMAP ❌…
About 6 hours, 17 mins ago by: Kota Miura (@cmci_)

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RT @dwaithe: @sossick @BioImagingUK @NEUBIAS_COST @RoyalMicroSoc We did discuss this topic at the last #IAFIGRMS meeting but focused on cos…
About 2 days, 17 hours ago by: Kota Miura (@cmci_)

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RT @HenriquesLab: Coming back to Portugal in a couple of weeks to teach at my original research institute @IGCiencia. We'll be giving the #…
About 3 days, 1 hour ago by: Kota Miura (@cmci_)

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RT @bxv_cell: CDeep3M - Plug-and-Play cloud based deep learning for image segmentation of light, electron and X-ray microscopy https://t.co
About 3 days, 1 hour ago by: Kota Miura (@cmci_)

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RT @robustgar: New post: Small n correlations + p values = disaster https://t.co/KBgRHGCvLg https://t.co/mBe2oRb3Tk
About 3 days, 1 hour ago by: Kota Miura (@cmci_)
blogtng:2011-08-22:python_ip_cookbook_on_the_way

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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194 +5᠎ = ?
blogtng/2011-08-22/python_ip_cookbook_on_the_way.txt · Last modified: 2016/05/24 05:46 (external edit)