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Image texture quantification from Corescan mineral classifications

Citation

Cracknell, MJ, Image texture quantification from Corescan mineral classifications, International Association for Mathematical Geosciences (IAMG), 02-09 September, Perth, Australia, pp. 130. (2017) [Non Refereed Conference Paper]


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Abstract

Corescan generates short-wave infrared (SWIR) derived mineralogy images from drill core that implicitly contain information on mineral texture. Mineral texture information is useful for understanding ore deposit formative processes, mineral processing monitoring and planning, geotechnical assessments and is important in understanding Acid Mine Drainage (AMD) generation capacity of mined materials. This research assesses texture quantification metrics based on the three general measures of image object (mineral grain) size, shape and spatial configuration for the development of indices representing geologically meaningful textures. Individual object texture metrics are summarised within moving windows of a specified size down the length of core using a weighted mean and a measure of variability similar to the coefficient of variation. The most promising meso-scale mineral texture metrics for the construction of geologically meaningful texture indices are: proportion, homogeneity, fractal dimension, elongation and fragmentation. The application of derived texture metrics to a specific need, i.e. geometallurgy or geoenvironmental applications, is limited by the finite resolution (500 μm pixels) of the Corescan mineralogy images and the limitations of the spectral unmixing algorithms used to classify these images. Several image processing choices that affect texture metrics are explored and discussed. The combination of two or more mineral texture metrics within conditional statements appears to be the most promising approach to the construction of geologically meaningful texture indices.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:minerals, texture, hyperspectral
Research Division:Earth Sciences
Research Group:Geology
Research Field:Mineralogy and Crystallography
Objective Division:Mineral Resources (excl. Energy Resources)
Objective Group:Primary Mining and Extraction Processes of Mineral Resources
Objective Field:Primary Mining and Extraction of Mineral Resources not elsewhere classified
Author:Cracknell, MJ (Dr Matthew Cracknell)
ID Code:122377
Year Published:2017
Deposited By:CODES ARC
Deposited On:2017-11-13
Last Modified:2017-11-13
Downloads:0

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