Minerals, Volume 12, Issue 1
2022 January - 107 articles
Cover Story: Accurate gemstone classification is crucial to the gem and jewellery trade, since identification is an important first step in the evaluation and appraisal of any gem. The significant progress in computer vision, now commonplace in areas such as medical imaging, can be applied to the classification of gems. There are many feature extraction algorithms and classifiers, which present a challenge when selecting one for a specific task. This paper compares 33 feature extraction techniques used in combination with different machine learning algorithms to classify images of gemstones across 68 categories. Compared to three human experts, the computer vision algorithms were much faster and provided, albeit marginal, higher accuracy. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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