Date: Mar 20, 2014 4:43 PM
Author: Julian
Subject: Re: Colormapping Matrix with 99-90% zeros and several peaks
"Kelly Kearney" wrote in message <lgfetg$s9h$1@newscl01ah.mathworks.com>...

> "Julian" wrote in message <lgfdru$p68$1@newscl01ah.mathworks.com>...

> > I have a Matrix with values ranging from 0 to 2*pi, size of this matrix is 2000² (just as a reference) and there are very few values in there (a maximum of 2*32²).

> >

> > Now i need a method or an idea to visualize this. What I have so far:

> >

> > figure;

> > image(Z1) %Z1=matrix<=size=2000*2000

> > colormap(jet)

> >

> > Of course Finding those pixels is hard and they aren't a very good representation.

> >

> > So my thougth was to make a convolution of the matrix with a 2D-gaussian curve (curve beeing normed at maximum to 1).

> > But that seems a very crude methode and I have to use this a lot.

> >

> > Furthermore I'd like it to exclude all zeros ( colormap from white (0) to blue(lowest) to red (highest)).

> >

> > I really hope for some ideas or usefull matlab methods.

> >

> > Thanks in advance

>

> I think a scatter plot would be your best bet. This function

>

> http://kellyakearney.net/matlabdoc/GeneralUtilities/spycolor.html

>

> is a little wrapper I wrote that creates a scatter plot for just this type of sparse data (and it will exclude 0s by default).

Thank you that's perfect actually much is better than what I had in mind.