An intelligent system for mineral identification in thin sections based on a cascade approach

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• 作者：Hossein Izadi^a ; ^b ; ^{hossein.izadi@ut.ac.ir} ; Javad Sadri^c ; ^d ; ^{j_sadri@encs.concordia.ca} ; Mahdokht Bayati^e ; ^{mahdoxt.bayati@ut.ac.ir}
• 关键词：Cascade classification ; Intelligent mineral identification ; Texture and color features ; Thin sections
• 刊名：Computers & Geosciences
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：99
• 期：Complete
• 页码：37-49
• 全文大小：3173 K
• 卷排序：99

文摘

An intelligent system for mineral identification in thin sections is developed. We create a real time and reliable segmentation and identification map. Final outputs are the name, number, boundary and percentage of each mineral. Based on the percentage of minerals, the name of probable target rock can be predicted. Our system can be used in applications such as NASA Mars explorations.