how to differentiate object in 3d image

there is 3d image with random objects (stack of 2d images). How is it possible to identify different objects with different color and assign different indices for isolated objects with different colors in 3d

[Walter Roberson]

Do you mean that the different objects in the image already have different colors? Are there ever two of the same color touching? Are there shadows, or is the illumination at an angle such that the (R,G,B) color triple for a given object will vary according to lighting ?

[B]

Its not the matter of color, in fact. Lets assume there is thresholded image, I need to identify the adjacent 1's which make different isolated objects, and so on

[Walter Roberson]

You want to do the coloring after the objects are separated out, and the data array is a 3D array of labels (and 0's) ?

[B]

I have a 3d array of 0 and 1s, I want to identify different objects (1s).

[Shaun VanWeelden]

See Image Analysts answer below, its exactly what you want :)

Answer 1

[Image Analyst]

Call bwlabeln() or bwconncomp() to do connected components labeling. Then call label2rgb().