(Solved): Need help with matlab. Will thumbs up if fast response is given thank you! Make a new script called ...

Need help with matlab. Will thumbs up if fast response is given thank you!

Make a new script called “process"

2) You should have two image files. L-8F.jpg is the SEM image that you will use. load in the image as a matrix.

3) Because there are four possible compositions for each pixel, you will need to pre-allocate a
matrix completely filled with white pixels (1) for each composition. Name these matrices
“IronOxide”, “Calcite”, “Dolomite”, and “Pores”.

4) Loop through the entire matrix to identify which of the 4 different compositions applies to each
pixel. When a given pixel is identified, make the corresponding pixel in the appropriate matrix
(i.e. IronOxide, Calcite, Dolomite, or Porosity) black.

5) To visualize your results make a plot of each image matrix in a single figure. Please use the “gray” colormap, but make
sure that everything is properly scaled. Figures should have the titles shown below.
Note that all of the images will consist of only either black or white pixels, except for the raw
image, which is grayscale.

Your script should calculate the percentages of each type of pixel for the entire image and
print the results to the screen stating the abundances to two decimal places. Your printout
should look like the example below (but with actual numbers), with all of the % values lined up
neatly. The print command should refer to variables, so if a different SEM image were loaded,
the command window output would automatically update.

Pixel Abundances
Porosity: xx.xx %
Dolomite: xx.xx %
Calcite: xx.xx %

Iron Oxides: x.xx %
Total: xxx.xx %