Journal
MACHINE VISION AND APPLICATIONS
Volume 13, Issue 2, Pages 61-69Publisher
SPRINGER
DOI: 10.1007/PL00013273
Keywords
mineral classification; genetic programming; feature space thresholding
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available