Daniel

Hello Michael. Unfortunately, that's true. I think the easiest way is to give over a handle to the desired axis as an additional input argument.

The selection of a seeding position currently works only for 2D input images, since the function does not know, in which slice you may set the initial point. One (easy) way is to check whether the input image is 3D and show up the medial (or a random) slice.

well, nicely done, but why here?!

Daniel good work.
I have a suggestion about an efficient mean and standard deviation calculations within your while loop.

Here is the inintilization of the parameters outside the loop.

meanI = regVal; % Mean intensity
sumSQR = 0; % sum of squares
stdI = 0; % Standard deviation
N = 1; % number of pixels

And then within your while loop after the statement,

J(xv+i, yv+j, zv+k) = true;

one can add the following lines of code to progessively calculate mean and standard deviation
gI = cIM(xv+i, yv+j, zv+k);
sumSQR = sumSQR + gI*gI;
meanI = (N*meanI + gI)/(N+1); % update mean
N = N+1; % increment number of pixels
stdI = (sumSQR - N*meanI*meanI)/(N-1); % update standard deviation

Omer.

Hey Daniel, running the 2d example with no initial seed produces an error if multiple figures are open, because get(himage,'XData') returns a cell array, and is then used in axes2pix() which accepts only numerical arrays. I'm not sure of the best way to deal with this, aside from including a 'close all' in the code.