> Hi all,
>
> I want to compare two image objects... they look very similar to human
> visual system... but I want to find their similarities by metrics...
>
> The two image objects are embedded in two different large images... I mean,
> they are surrounded by dark or near-dark background in two larger images...
>
> And these two larger images are of different sizes and different sampling
> rate... And the two image objects aren't the same relative locations within
> the larger images...
>
> So how do I dig them out from their background and how do I compensate for
> different sampling rate in comparison?
>
> Thanksa lot
>
>
Reply by Ken Prager●December 21, 20042004-12-21
In article <cq9uqc$2kr$1@news.Stanford.EDU>,
"lucy" <losemind@yahoo.com> wrote:
> Hi all,
>
> I want to compare two image objects... they look very similar to human
> visual system... but I want to find their similarities by metrics...
>
> The two image objects are embedded in two different large images... I mean,
> they are surrounded by dark or near-dark background in two larger images...
>
> And these two larger images are of different sizes and different sampling
> rate... And the two image objects aren't the same relative locations within
> the larger images...
>
> So how do I dig them out from their background and how do I compensate for
> different sampling rate in comparison?
>
> Thanksa lot
Hi all,
I want to compare two image objects... they look very similar to human
visual system... but I want to find their similarities by metrics...
The two image objects are embedded in two different large images... I mean,
they are surrounded by dark or near-dark background in two larger images...
And these two larger images are of different sizes and different sampling
rate... And the two image objects aren't the same relative locations within
the larger images...
So how do I dig them out from their background and how do I compensate for
different sampling rate in comparison?
Thanksa lot