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Hello Tomislav<br><br>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.<br><br>Keep us in touch with your project<br><br>Maxime <br><br>> Date: Fri, 26 Nov 2010 11:45:09 +0100<br>> From: tomislav.maric@gmx.com<br>> To: image-sig@python.org<br>> Subject: [Image-SIG] experimental data diagram digitalization<br>> <br>> Hi everyone, <br>> <br>> 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:<br>> <br>> 1) Create a .png of the diagram I find in the literature (.pdf articles, or theses). <br>> 2) Clean up the diagram (remove the axes, the text and leave only the data that I am interested in). <br>> 3) Read the image. <br>> 4) Apply a filter that will result in only those pixels that are non-white (pick up the experimental data). <br>> 5) Scale the result data of the filter (in pixels) to the actual coordinates in the image in milimeters. <br>> 6) Scale the milimeter coordinates to the actual scale of the diagram (read from the original .pdf), to get the<br>> true coordinates (in my case, I have time in seconds and pressure in kPa). <br>> <br>> Can this be done with the Python Imaging Library + some additional python coding?<br>> <br>> The other option would be to use inkscape to export the path into .svg and manipulate (scale) it with some python-XML library.<br>> <br>> Can anyone give me some advice on this issue? <br>> <br>> Thanks in advance, <br>> Tomislav<br>> _______________________________________________<br>> Image-SIG maillist - Image-SIG@python.org<br>> http://mail.python.org/mailman/listinfo/image-sig<br> </body>
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