I asked this question at http://stackoverflow.com/questions/1449139/simple-object-recognition and get lots of nice feedback, and finally I have managed to implement what I wanted.
What I was looking for is named "connected component labelling or analysis" for my "connected component extraction" I have put the code (lab2.py) and the image (particles.png) under: http://code.google.com/p/ccnworks/source/browse/#svn/trunk/AtSc450/labs What do you think of improving that code and adding into scipy's ndimage library (like connected_components()) ? Comments and suggestions are welcome :) On Wed, Sep 16, 2009 at 7:22 PM, Gökhan Sever <[email protected]> wrote: > Hello all, > > I want to be able to count predefined simple rectangle shapes on an image > as shown like in this one: > http://img7.imageshack.us/img7/2327/particles.png > > Which is in my case to count all the blue pixels (they are ice-snow flake > shadows in reality) in one of the column. > > What is the way to automate this task, which library or technique should I > study to tackle it. > > Thanks. > > -- > Gökhan > -- Gökhan
_______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
