Automatic Mineral Identification Using Genetic
Programming
Machine Vision and Applications, 13 (2):
61--69 (2001)Abstract
Automatic mineral identification using evolutionary
computation technology is discussed. Thin sections of
mineral samples are photographed digitally using a
computer-controlled rotating polarizer stage on a
petrographic microscope. A suite of image processing
functions is applied to the images. Filtered image data
for identified mineral grains is then selected for use
as training data for a genetic programming system,
which automatically synthesizes computer programs that
identify these grains. The evolved programs use a
decision tree structure that compares the mineral image
values with one other, resulting in a thresholding
analysis of the multi-dimensional colour and textural
space of the mineral images
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