Code for Multimodal Histogram Segmentation of images

This is the code that I found on Multimodal histogram segmentation... I ran the code but however I have 2 doubts..

1. How do we form a loop to run steps 2 through 4.

2. Where is our final segmented output image

% 1)Select an initial estimate for T T = 128; T0 = .5;

% 2)Segment the image using T. This will produce two % groups of pixels. G1 consisting of all pixels with gray % level values >T and G2 consisting of pixels with values <=T.

G1 = grayImage > T; G2 = grayImage <= T;

% 3)Compute the average gray level values mean1 and % mean2 for the pixels in regions G1 and G2.

meanGL1 = mean(grayImage(G1)) meanGL2 = mean(grayImage(G2))

% 4)Compute a new threshold value

Tnew=(1/2) * (meanGL1 +meanGL2)

if (Tnew - T) < T0 then run steps 2 through 4 until (Tnew - T) > T0

Some one plzzz help...its urgent

Answer 1

[Sean de Wolski]

doc multithresh
doc imquantize

[Preeti Mistry]

I did not understand your answer...

[Sean de Wolski]

If you run those two commands, they will lead you to the documentation for the functions in MATLAB that find thresholds and apply them to images.