[Image-SIG] experimental data diagram digitalization
burton.1 at sympatico.ca
Fri Nov 26 14:23:39 CET 2010
for the part 1-3 you can use PIL, for the part 4, you should also use numpy to convert your image into a flat list. Sorry, I cant help you for the points 5 and 6.
Keep us in touch with your project
> Date: Fri, 26 Nov 2010 11:45:09 +0100
> From: tomislav.maric at gmx.com
> To: image-sig at python.org
> Subject: [Image-SIG] experimental data diagram digitalization
> Hi everyone,
> I need to digitalize a diagram of experimental data. I have been reading the documentation of the Python Imaging Library, and I'm thinking that I can approach my problem in the following way:
> 1) Create a .png of the diagram I find in the literature (.pdf articles, or theses).
> 2) Clean up the diagram (remove the axes, the text and leave only the data that I am interested in).
> 3) Read the image.
> 4) Apply a filter that will result in only those pixels that are non-white (pick up the experimental data).
> 5) Scale the result data of the filter (in pixels) to the actual coordinates in the image in milimeters.
> 6) Scale the milimeter coordinates to the actual scale of the diagram (read from the original .pdf), to get the
> true coordinates (in my case, I have time in seconds and pressure in kPa).
> Can this be done with the Python Imaging Library + some additional python coding?
> The other option would be to use inkscape to export the path into .svg and manipulate (scale) it with some python-XML library.
> Can anyone give me some advice on this issue?
> Thanks in advance,
> Image-SIG maillist - Image-SIG at python.org
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