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

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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.
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Walter Roberson
Walter Roberson 2018-12-18
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.

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Image Analyst
Image Analyst 2018-12-18
编辑:Image Analyst 2018-12-18
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.

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