Writing Seminar 1: Figures

Figures
Writing Seminar 1:
Figures
A picture is worth a thousand words.
But make sure your pictures are properly
formatted!
Make
sure your pictures are large and neat.
sure all text is legible.
Include a title on each picture.
Label your axes on plots.
Include a caption on each figure and label each
caption in the order in which it appears in the report:
Figure 1, Figure 2, etc.
Make
Math 490
Prof. Todd Wittman
The Citadel
Figures in Microsoft Word
Pasting From Matlab
Under "Insert" click "Table" and select 1x2 table.
Unfortunately, the Matlab "Copy Figure"
command is buggy.
Even when it does work, Matlab puts in a
lot of unnecessary white space which
makes the pictures smaller than they
should be.
So we will use the PrintScreen (PrtScrn)
button on the keyboard to take a
screenshot.
Paste your picture into the top row.
Write a caption in the second row, e.g.
Figure 1. Denoising a MR image using a 5x5 mean filter.
Captions may be a sentence fragment or 1-2 short sentences.
I like to put the figure label in bold print: Figure 1
Finally center both your picture and caption horizontally.
Pasting From Matlab
Pasting From Matlab
Step 2: Press the PrtScn button on your keyboard
to take a screenshot.
Step 3: Open Microsoft Paint (under Programs ->
Accessories). Paste the screenshot using Ctrl-V.
Step 1: Set a white background on your figure.
set(gcf,'color','white')
1
Pasting From Matlab
Pasting From Matlab
Step 4: Crop the part of the screenshot you
want to put into your report using the
"Select" tool. Press Ctrl-C to copy.
Step 5: Paste (Ctrl-V) your picture into your table
in Microsoft Word.
Now just add a clever caption and you're done!
Referencing Figures
Example Lab Report
The body of your report should reference
your figures by number.
Tell the reader what they should look for in
the figures.
Ex Write a lab report that describes the
chessboard-making function we wrote in
Lecture 1.
What to Include in Your Report
Figure 1 shows the result of denoising a MR image using a
mean filter. Note the mean filter removes most of the
noise, but also blurs the edges. The running time of the
mean filter increases linearly with the image size, as shown
in the plot in Figure 2.
Text describing what you did.
A figure showing your Matlab code.
3. A figure showing several NxN chessboards.
1.
2.
2