Is it possible to find the surface densities of images by applying any kind of matlab functions?

I've taken one image with no light and one with laser light projecting onto the surface which I wanted. So now, definitely some increase in its surface density. Can we find this one.

[Image Analyst]

What is your definition of density?

[GUDIVADA ROKESH KUMAR]

Increase in area, height. Suppose if we place a mud on image and then we take the images of before and after placing mud on it. Now this mud will be the change in the two images. I want this mud density.

[GUDIVADA ROKESH KUMAR]

here density rerfers to thickness, area density.

[Walter Roberson]

sample images?

is the mud always black? is it always saturated with water ? is the thickness less than the mean free path?

in other words can we count on darker correlating to thicker mud?

Typical surface mud around here is brown, and a thick dry brown mud is lighter colour than aa thinner wet brown mud.

This area is also a flood plain with about 10000 years of organic accumulation . Mud from subsurface tends to be dark grey to black . A thin layer of subsurface mud is darker than thicker layers of brown mud.

[GUDIVADA ROKESH KUMAR]

thank you for your response. Yes we can correlate darker to thicker mud.

Answer 1

[Image Analyst]

The image itself is a measurement of the color. If you want, you can build a calibration curve where you pippette out a known amount of mud and measure it's color and basically build up a look up table of how much grams per square meter of mud correspond to what color.

If you can take a laser scanning profilometry image of the tile without mud, then apply mud to it, then you can subtract the heights (muddy image - clean image) to get a thickness image.