On Tue, 14 Jul 2009 15:31:14 Kevin Cazabon wrote: > I don't need to find specific features, but need to find a small set > of distinct features consistently in similar images (for aligning them > together). I can brute-force this with min/max values/etc, but was > hoping for some help on something more elegant and efficient. Any > pointers would be appreciated, thanks!
I've accomplished something similar using OpenCV functions that correlate a template to an area and return a matrix of correlation ratings. Then finding in the matrix the extreme value (max or min depending on the function) you can find your "best match". Currently I'd advise the ctypes-opencv bindings by Minh-Tri Pham to use the code from Python. It's quite speedy and works well, just need to play a bit with the functions to find out which works best for your case. HTH, Guy -- Guy K. Kloss Institute of Information and Mathematical Sciences Te Kura Pūtaiao o Mōhiohio me Pāngarau Massey University, Albany (North Shore City, Auckland) 473 State Highway 17, Gate 1, Mailroom, Quad B Building voice: +64 9 414-0800 ext. 9585 fax: +64 9 441-8181 g.kl...@massey.ac.nz http://www.massey.ac.nz/~gkloss _______________________________________________ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
