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### Highlights from UIMAGE - UIMAGESC

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# UIMAGE - UIMAGESC

### Frederic Moisy (view profile)

12 Jun 2006 (Updated )

Display image with non-linearly spaced axis.

File Information
Description

UIMAGE(X,Y,C) displays matrix C as an image, using the vectors X and Y to specify the X and Y coordinates. X and Y may be unevenly spaced vectors, but must be increasing. The size of C must be LENGTH(Y)*LENGTH(X). (Most probably you'll want to display C' instead of C).

Contrary to Matlab's original IMAGE function, here the vectors X and Y do not need to be linearly spaced. Whereas Matlab's IMAGE function linearly interpolates the X-axis between X(1) and X(end), ignoring all other values (idem for Y), here UIMAGE allows for X and/or Y to be unevenly spaced vectors, by locally stretching the matrix C (ie, by duplicating some elements of C) for larger X and/or Y intervals.

Use UIMAGESC to scale the data using the full colormap. The syntax for UIMAGESC(X,Y,C,...) is the same as IMAGESC(X,Y,C,...).

Typical uses:
- Plotting a spatio-temporal diagram (T,X), with unevenly spaced time intervals for T (eg, when some values are missing, or when using a non-constant sampling rate).
- Plotting a set of power spectra with frequency in log-scale.

Example:
c = randn(50,20); % Random 50x20 matrix
x = logspace(1,3,50); % log-spaced X-axis, between 10 and 1000
y = linspace(3,8,20); % lin-spaced Y-axis, between 3 and 8
uimagesc(x,y,c'); % displays the matrix

MATLAB release MATLAB 7.2 (R2006a)
16 Dec 2015 Aaron

### Aaron (view profile)

Works great.

29 Oct 2014 Francesco

### Francesco (view profile)

I suggest the following improvement: in the uimage.m file, when both X an Y are uneven, it is better to replace

for i=1:nx
for j=1:ny
indi = find(x<=xe(i));
indj = find(y<=ye(j));
ce(j,i) = c(indj(end), indi(end));
end
end

with

xi = zeros(nx,1);
yi = zeros(ny,1);
for i=1:nx
indi=find(x<=xe(i));
xi(i)=indi(end);
end
for j=1:ny
indj=find(y<=ye(j));
yi(j)=indj(end);
end
for i=1:nx
for j=1:ny
ce(j,i) = c(yi(j), xi(i));
end
end

Kind regards.

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16 Oct 2014 Peter Pablo

### Peter Pablo (view profile)

Dear Matt,
thank you for your suggestion. In order to remove the necessity of functions 'row' and 'col', the line 'ce = ...' should read:

ce = interp2(x,y,c,xe(:),ye(:)','nearest');

I can confirm that the speed for plot creation is increased by a factor of almost 500!!

(Tested using MATLAB 2014a)

05 Jun 2014 Matt Raum

### Matt Raum (view profile)

Output is different from imagesc for nominally identical inputs.

sz=21;
noise=1e-6;
x=linspace(0,1,sz)+noise*randn(1,sz);
y=linspace(0,1,sz)+noise*randn(1,sz);
z=randn(sz);
figure;
imagesc(x,y,z);hline(y,'-k');vline(x,'-k');
figure;
uimagesc(x,y,z);hline(y,'-k');vline(x,'-k');

I was able to correct this and speed up the code significantly by using the following replacement for the general (~evenx && ~eveny) case:

nx = round(1 + (x(end) - x(1))/dx);
nx = min(nx, nmax);
xe = linspace(x(1), x(end), nx);

ny = round(1 + (y(end) - y(1))/dy);
ny = min(ny, nmax);
ye = linspace(y(1), y(end), ny);

ce = interp2(x,y,c,col(xe),row(ye),'nearest');

The functions 'col' and 'row' just turn one dimensional vectors into column and row vectors, respectively. A similar loop eliminating modification made to the other two cases will presumably speed them up as well.

Thanks Frederic!

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01 Mar 2014 Anders

### Anders (view profile)

perfect!

23 Jul 2013 Gustaf Lönn

### Gustaf Lönn (view profile)

Very nice script! When using large matrices, panning and zooming is *much* faster with this script than with pcolor.

03 Jul 2012 Natan

### Natan (view profile)

very nice work, should be part of Matlab in my view...

08 May 2012 Sven

### Sven (view profile)

Secondly, imagine this scenario:

You have a volume of images, and you want to scroll through those images, viewing each one. If they were monotonically spaced, you could just call h=image(X,Y,C(:,:,1)) on the first slice, then call set(h,'CData',C(:,:,i)) on the rest of the slices.

When they are NOT monotonically spaced, you now need to call h=uimage(X,Y,C(:,:,1)). The problem here is that the 'CData' has a new number of rows/columns, so for subsequent images you can't just update 'CData' like you could before.

Instead, consider if uimage also gave the *indices* it used to resample C monotonically. Now on the first image you could call:
[h,Xinds,Yinds]=uimage(X,Y,C(:,:,1))
and on subsequent calls you could now use:
set(h,'CData',C(Yinds,Xinds,i))

This would save re-calculating the resampling locations for each separate slice (since they are all the same), and it would also save deleting and re-creating image handles for each slice you want to show.

Frederic, I've just sent you an overhaul of your code that does just this (and includes the speed-up from my above comment).

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08 May 2012 Sven

### Sven (view profile)

There are a few places where big speed gains can be made. Firstly, the interpolation step can be improved by removing a loop near line 88:

tic % Original version
for j=1:ny
indj = find(y<=ye(j));
ce(j,1:nx) = c(indj(end), 1:nx);
end
toc
tic % Faster version
T = bsxfun(@minus, ye(:), y(:)')>=0;
% Following two lines can be replaced with FIND_NDIM: indsJ = find_ndim(T,2,'last');
[~, indsJ] = max(flipdim(T,2),[],2);
indsJ = length(y)+1 - indsJ;
ce2 = c(indsJ,:);
toc
isequal(ce, ce2)

Elapsed time is 0.013454 seconds.
Elapsed time is 0.001384 seconds.

ans =

1

So here we get a 13x speedup (and the sped up version gives identical output to the original)

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06 Feb 2012 Oliver Woodford

### Oliver Woodford (view profile)

pcolor creates patch objects, which can create problems when exporting using the painters renderer. This method allows images with non-linear axes to be rendered as images, which export much better.

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06 Feb 2012 Oliver Woodford

### Oliver Woodford (view profile)

31 Jan 2012 Rob Campbell

### Rob Campbell (view profile)

It's still a good idea. It's just a redundant good idea ;)

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31 Jan 2012 Frederic Moisy

### Frederic Moisy (view profile)

Oooooooh... I must admit that Bjorn Gustavsson is totally right. This submission actually mimick to behavior of pcolor. Thank you for your remark, and sorry for this false good idea...
F.

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31 Jan 2012 Bjorn Gustavsson

### Bjorn Gustavsson (view profile)

Just a question: What improved features does this provide compared to simply calling:

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19 Jan 2012 Tim

### Tim (view profile)

I just debugged an error similar to that of Janti.... I think the i,j indexing is wrong in line 122. See below..

% ce(j,i) = c(indi(end), indj(end)); % original version
ce(j,i) = c(indj(end), indi(end)); % "corrected" version

14 Jun 2011 Janti

### Janti (view profile)

If you need to have both axis in logspace you get an error.

indi = find(x<=xe(i));
indi = min(indi,length(y));
indj = find(y<=ye(j));
indj = min(indj,length(x));
ce(j,i) = c(indi(end), indj(end));

Thanks for this m file!

Excellent work. This was exactly what I was looking for. I just did 15 query-replace for 'imagesc' in my code and it works beautifully. Thanks!

24 Aug 2009 Gabriel Akira Schreiber

### Gabriel Akira Schreiber (view profile)

Oh soo cool! Just what I needed.Very nicely done.

28 Mar 2008 Dhanya parameshwaran

Thanks Frederic. Clever trick , works perfectly!

09 Mar 2008 Sven Holcombe

Excellent work. Piggybacks neatly on core matlab image() and imagesc() functions so I can simply replace these calls. If my input is in fact perfectly linear, then these calls are used directly without further processing. Thank you.

13 Jun 2006 RALIHALIZARA Julliard

BEautifull idea!