Hello Tomislav 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 Maxime > Date: Fri, 26 Nov 2010 11:45:09 +0100 > From: tomislav.ma...@gmx.com > To: image-sig@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, > Tomislav > _______________________________________________ > Image-SIG maillist - Image-SIG@python.org > http://mail.python.org/mailman/listinfo/image-sig
_______________________________________________ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
