integral image for each depth in a three dimensional array
Emmanuelle Gouillart
emmanuelle.gouillart at nsup.org
Tue Aug 6 05:48:53 EDT 2013
On Tue, Aug 06, 2013 at 11:45:31AM +0200, Johannes Sch�nberger wrote:
> @Emmanuelle: didn't know about that, thanks for pointing that out!
> Johannes Sch�nberger
Didn't know either, but I had a look at the code:
return x.cumsum(1).cumsum(0)
so additional dimensions are "transparent"
Emma
> Am 06.08.2013 um 11:43 schrieb Emmanuelle Gouillart <emmanuelle.gouillart at nsup.org>:
> > Hi Masa,
> > actually you can pass a 3-D array to integral_image :
> >>>> from skimage import transform
> >>>> a = np.arange(27).reshape((3, 3, 3))
> >>>> a
> > array([[[ 0, 1, 2],
> > [ 3, 4, 5],
> > [ 6, 7, 8]],
> > [[ 9, 10, 11],
> > [12, 13, 14],
> > [15, 16, 17]],
> > [[18, 19, 20],
> > [21, 22, 23],
> > [24, 25, 26]]])
> >>>> transform.integral_image(a)
> > array([[[ 0, 1, 2],
> > [ 3, 5, 7],
> > [ 9, 12, 15]],
> > [[ 9, 11, 13],
> > [ 24, 28, 32],
> > [ 45, 51, 57]],
> > [[ 27, 30, 33],
> > [ 63, 69, 75],
> > [108, 117, 126]]])
> > Would this do the trick?
> > Cheers,
> > Emmanuelle
> > On Tue, Aug 06, 2013 at 02:36:32AM -0700, masa wrote:
> >> Hi all,
> >> I want to calculate integral images for each depth in a three dimensional
> >> array.
> >> My code is something like this:
> >> ret = np.empty(height, width, depth)
> >> int_imgs = [integral_image(image[:,:,i]) for i in range(depth)]
> >> for i in range(depth):
> >> ret[:,:,i] = int_imgs[i]
> >> Is there better way to do this?
> >> Thanks,
> >> masa
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