Techreport,
Automatic Mineral Identification Using Genetic Programming
Techincal Report, CS-99-04. Department of Computer SCience, Brock University, (December 1999)
Abstract
Automatic mineral identification using evolutionary
computation technology is discussed. Thin sections of
mineral samples are digitally photographed using a
computercontrolled 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.
