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Utilization of Image Processing and Mathematical Morphological Techniques on Exploratory Data for Prediction of Mineralisation Pattern in Kolar Gold Fields, India


Affiliations
1 Department of Civil Engineering, G.Pulla Reddy Engineering College (Autonomous), Kurnool -518 007 - A. P., India
     

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Prediction of geological problems is complex in nature especially so in the world famous Kolar gold mines. Multidisciplinary approach is deemed necessary to understand such enigmatic problems. Gold values from the vein located the western side of Glenshoot in champion reef mine, a part of Kolar gold mines measuring 2000′ x 3000′ are utalised in the present analysis. The vein, in the question is in champion reef mine of the Kolar gold fields. Each data matrix consists of 35 x 20 i.e., 700 nodal values on gold assay, assay width and accumulation respectively. On this data set image processing, logical and morphological techniques were applied to unravel the nature of mineralization. The findings, hopefully shed new light in understanding the mineralization patterns and thereby tracing of new veins for overall enhancement in the production.


Keywords

Dilation, Erosion, Median Filtering, Step Operation, Code Filtering, Estimation Theory, Mineralization, Greenstones.
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  • Utilization of Image Processing and Mathematical Morphological Techniques on Exploratory Data for Prediction of Mineralisation Pattern in Kolar Gold Fields, India

Abstract Views: 309  |  PDF Views: 3

Authors

S. Radhakrishna
Department of Civil Engineering, G.Pulla Reddy Engineering College (Autonomous), Kurnool -518 007 - A. P., India

Abstract


Prediction of geological problems is complex in nature especially so in the world famous Kolar gold mines. Multidisciplinary approach is deemed necessary to understand such enigmatic problems. Gold values from the vein located the western side of Glenshoot in champion reef mine, a part of Kolar gold mines measuring 2000′ x 3000′ are utalised in the present analysis. The vein, in the question is in champion reef mine of the Kolar gold fields. Each data matrix consists of 35 x 20 i.e., 700 nodal values on gold assay, assay width and accumulation respectively. On this data set image processing, logical and morphological techniques were applied to unravel the nature of mineralization. The findings, hopefully shed new light in understanding the mineralization patterns and thereby tracing of new veins for overall enhancement in the production.


Keywords


Dilation, Erosion, Median Filtering, Step Operation, Code Filtering, Estimation Theory, Mineralization, Greenstones.



DOI: https://doi.org/10.24906/isc%2F2013%2Fv27%2Fi4%2F177612