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Applications c ○ Springer-Verlag 2001 Automatic mineral identification using genetic programming (2007)

Abstract
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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Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.16.6093
Source http://www.cosc.brocku.ca/~bross/research/machvisapps.pdf
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Type text
Language English