Rock lithological classification using multi-scale Gabor features from sub-images, and voting with rock contour information
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- 作者：Claudio A. Perez ; clperez@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; Jacob A. Saravia jsaravia@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; Carlos F. Navarro canavarr@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; Daniel A. Schulz dschulz@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; Carlos M. Aravena cararave@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; Francisco J. Galdames fgaldame@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Rock classification ; Lithological classification ; Grindability estimation ; Gabor feature extraction ; Texture features ; Feature selection
- 刊名：International Journal of Mineral Processing
- 出版年：2015
- 出版时间：10 November 2015
- 年：2015
- 卷：144
- 期：Complete
- 页码：56-64
- 全文大小：1181 K
文摘
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We classify each sub-image into a lithological class based on extracted features.
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We extract Gabor texture features using five spatial scales and eight orientations.
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Information from the contour of each rock is used to make a vote among sub-images.
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Our results are compared on three different databases to those previously published.
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The most relevant features can be identified using selection by mutual information.