Object detection

[Guillaume Gay]

Le 23/02/2012 16:57, Tony Yu a écrit :
>
>
> On Thu, Feb 23, 2012 at 10:02 AM, Zachary Pincus 
> <zachary.pincus at yale.edu <mailto:zachary.pincus at yale.edu>> wrote:
>
>     Hi Siggi,
>
>     > like Andy suggested, I need the bonding box for each shear. This
>     should represent the diameter in
>     > good approximation what leads to the grain size distribution.
>
>     In this case I'd also agree with Andy that a template-matching
>     approach might be best, with a library of templates of different
>     sizes. Then for each template-match peak, determine which size
>     template gives the best match, and read out the size distribution
>     from that?
>
>     Alternately, you could look at a Hough-circles sort of approach,
>     and again could read off the size distribution straight from the
>     Hough-transformed image.
>
>     Zach
>
>
> I have a hough-circles implementation (which I've been meaning to 
> contribute). Unfortunately, my implementation does a pretty poor job 
> when there's a large range of circle size and when the circles are 
> close/overlapping. As a result, the output I get for the example image 
> is not very good. A better implementation may be able to deal with 
> these issues, though.
>
> -Tony
>
Have you tried opencv's? Also their fitEllipse might be of help...
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20120223/9ca4f76e/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: guillaume.vcf
Type: text/x-vcard
Size: 282 bytes
Desc: not available
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20120223/9ca4f76e/attachment.vcf>