Object detection

[Tony Yu]

On Thu, Feb 23, 2012 at 11:25 AM, Guillaume Gay <
guillaume at mitotic-machine.org> wrote:

>  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>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...
>

I'll have to look into that. I've used the opencv implementation of hough
circles, but it didn't give me very good results---that could easily have
been a problem on my end, though.

-Tony
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