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This is the simulated pipe data stored as .gif images. It is the most efficient
way of storing the data that I found.
The gif images are stored in the 'pipe_as_gif' folder.
gif2pipe.m is a MATLAB function that translate the gif image into a 3d array of
dimension 480*640*200. The input is the gif file and output is the 3d
array.
The data has noise added.
There are 5 classes: dentxxx.gif ---- dent damage
impixxx.gif ---- impingement damage
ndxxx.gif ---- Non-damage pipe
slitxxx.gif ---- slit damage
squizxxx.gif ---- squeeze damage
Storing all the data as array may require ~20GB of RAM in MATLAB.
P.S. I wonder if neural network or any classifier could directly use .gif image
as input for training and classification.