Re: [Image-SIG] feature detection/location in images
Thanks for the input everyone - I'll check it out. Hopefully it's easy to get set up and working. Kevin. On 14 Jul 2009, at 13:05, Chris Ps wrote: -- Forwarded message -- From: Kevin Cazabon To: image-sig@python.org Date: Mon, 13 Jul 2009 23:31:14 -0400 Subject: [Image-SIG] feature detection/location in images Hey everyone - does anyone have good experience in locating features in an image? PilPlus used to have a "ImageCrackCode" module, but I've never used it or even seen it (it says no longer available). 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! Kevin. -- Forwarded message -- From: "Guy K. Kloss" To: image-sig@python.org Date: Tue, 14 Jul 2009 16:37:21 +1200 Subject: Re: [Image-SIG] feature detection/location in images 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 I would also recommend OpenCV. I'm not familiar with the bindings by Minh-Tri Pham, I'm using the Python(x,y) distribution which includes python bindings from the original c library. Some of the functions are buggy and the API is rather clumsy (very c like), but I don't think you will have a problem. In case the functions you are looking for don't exist in OpenCV a solution would be to export your PIL image as a nd array to numpy and work with that. Dealing with numpy makes repetitive window based operations faster than PIL. Christos ___ 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
Re: [Image-SIG] feature detection/location in images
> -- Forwarded message -- > From: Kevin Cazabon > To: image-sig@python.org > Date: Mon, 13 Jul 2009 23:31:14 -0400 > Subject: [Image-SIG] feature detection/location in images > Hey everyone - does anyone have good experience in locating features in an > image? PilPlus used to have a "ImageCrackCode" module, but I've never used > it or even seen it (it says no longer available). > > 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! > > Kevin. > > > > -- Forwarded message -- > From: "Guy K. Kloss" > To: image-sig@python.org > Date: Tue, 14 Jul 2009 16:37:21 +1200 > Subject: Re: [Image-SIG] feature detection/location in images > 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<http://www.massey.ac.nz/%7Egkloss> > I would also recommend OpenCV. I'm not familiar with the bindings by Minh-Tri Pham, I'm using the Python(x,y) distribution which includes python bindings from the original c library. Some of the functions are buggy and the API is rather clumsy (very c like), but I don't think you will have a problem. In case the functions you are looking for don't exist in OpenCV a solution would be to export your PIL image as a nd array to numpy and work with that. Dealing with numpy makes repetitive window based operations faster than PIL. Christos ___ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
Re: [Image-SIG] feature detection/location in images
On Tue, Jul 14, 2009 at 5:31 AM, Kevin Cazabon wrote: > Hey everyone - does anyone have good experience in locating features in an > image? PilPlus used to have a "ImageCrackCode" module, but I've never used > it or even seen it (it says no longer available). > > 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! > Kevin, how would you feel about using numpy for this !? -- Sebastian Haase ___ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
Re: [Image-SIG] feature detection/location in images
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
