http://imagej.273.s1.nabble.com/Java-SIFT-plugin-for-ImageJ-Question-on-parametage-tp3694919p3694923.html
size, for getting only small features increase the minimum image size.
> Hello,
>
> Maybe I just make it to be precise in discussion.
> For example, I want larger features, which means those show the
> salient
> point in a "low resolution".
> How should I set the max and min image size value?
>
> cheers, Xin
>
> Xin ZHOU a écrit :
> > Hello, everybody,
> >
> > Is there anybody who knows a lot about the Java SIFT plugin
> provided
> > by Stephan Saalfeld <mailto:
[hidden email]>?
> > I also send this message to Stephan Saalfeld
> > <mailto:
[hidden email]> but I need some quick answers to make
> my
> > project move.
> >
> > I'm using the SIFT plugin to extract the salient points and I
> played
> > with the parameters.
> >
> > In the "Java SIFT parameters explanation.doc" I find some
> inconsistency.
> > * Steps per scale octave*: Keypoint candidates are extracted
> at
> > all scales between /maximum image size/ and /minimum image size/.
> >
> > * *Minimum image size*: The Scale Space stops if the size of the
> > octave would be smaller than /minimum image size/. *Tip*:
> Increase
> > the minimum size to discard large features (i.e. those
> extracted
> > from looking at an image from far, such as the overall shape).
> > * *Maximum image size*: The Scale Space starts with the first
> octave
> > equal or smaller than the /maximum image size/. *Tip*: By
> reducing
> > the size, fine scaled features will be discarded, favoring
> larger
> > features. Larger features are more likely to remain constant
> > across serial sections. Increasing the size beyond that of the
> > actual images has no effect.
> >
> > I don't understand why if I enlarger the maximum image size, I'll
> > discard the larger features ....
> > I presume that the larger features are for the larger scale, right?
> > Then larger scale can only be detected in larger window.
> >
> > I think I just badly understand these two parameters.
> >
> > Can anyone explain a little bit?
> >
> > cheers, Xin
> >
> >
> >
>