Mark, I'm not sure what you're getting at here. The Transform module only does coordinate transformations on data sets. It modifies vectors or images so that the components of the vector, or pixel indices of the image, have a different geometry than they originally did.
An image, for example, is a collection of values taken at a regular grid of positions (X,Y): one pixel index is proportional to X position in the image, and the other pixel index is proportional to Y position in the image. With Transform::map, you can resample the image so that the pixel indices are proportional to some other parameter (like distance from a particular point, or angle *around* that point). I'm not sure what you mean by, for example, "now we make a transformation for Mass to any power". Cheers, Craig On Feb 27, 2013, at 1:44 PM, MARK BAKER <[email protected]> wrote: > > you Might have hinted on to something very big here ... > I thought about this for a while , and here is what I have > if you have a know dimension that can be found threw image processing > say ([mass][length]^3[time]^-4[current]^-2) and if you can find some other > dimensions > then you might be able to derive a image transform for each dimension > > as a example voltage/resistance = current so now you have the I (current) > dimension > resistance * capacitance = time so now we have our T (time) dimension > speed of light / frequency = wave length so now we have our L (length)) > dimension (1/time = frequency) > and now voltage * L^-2*T^3*I^1 = M so now we have our Mass dimension > > now we make a transformation for Mass to any power > now we make a transformation for Length to any power > now we make a transformation for Time to any power > now we make a transformation for current to any power > > by mixing those dimensions now now we can process a value for any > unit Dimension like the Power spectral density = [Mass]*[Length]^2 * [Time]-2 > > with this Idea you can calculate all 194481 value in string theory of the > image ... > > if you can find a few different transformations and can send them to me > I would be happy to try to help build a multi-dimensional imaging engine ... > > Perfect Blessing's > -Mark > > "sometimes I think perl is alive". > > > From: John Lapeyre <[email protected]> > To: Craig DeForest <[email protected]>; "[email protected]" > <[email protected]> > Sent: Saturday, February 23, 2013 1:26 PM > Subject: Re: [Perldl] radial power spectrum > > > Awesome. Thanks. Have fun! > > On 02/23/2013 09:52 PM, Craig DeForest wrote: > > I fft rhem use PDL::Transform > for the radial part. Periodic boundaries are your friend. Sorry > for brief - on ski lift. > > > > > > (Mobile) > > > > > > > > > On Feb 23, 2013, at 11:40 AM, John Lapeyre > <[email protected]> wrote: > > > > > >> Greetings, > > >> > > >> I want to compute the power spectral density of an image, > and then > > >> integrate over the azimuth to get a radial (in wavelengh) > spectral > > >> density. I wonder if anyone has code to do this ? I am > trying to cook > > >> up something with rvals, and whichND, but I don't want to > waste time > > >> if it is already coded. > > >> > > >> Thanks, > > >> John > > >> > > >> > > >> _______________________________________________ > > >> Perldl mailing list > > >> [email protected] > > >> http://mailman.jach.hawaii.edu/mailman/listinfo/perldl > > >> > > > > _______________________________________________ > Perldl mailing list > [email protected] > http://mailman.jach.hawaii.edu/mailman/listinfo/perldl > > > _______________________________________________ > Perldl mailing list > [email protected] > http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
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