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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Received: 18 October 1999 / Accepted: 20 January 2001
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Ross, B., Fueten, F. & Yashkir, D. Automatic mineral identification using genetic programming. Machine Vision and Applications 13, 61–69 (2001). https://doi.org/10.1007/PL00013273
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DOI: https://doi.org/10.1007/PL00013273