Abstract
The twenty-first century is bringing radical changes in mineral industry. High speed and low cost computational and sensing devices make it possible to reach at remote location and instantaneous control on the processes. Image processing which was very useful for some selected applications is getting popularity in mineral industry in changed scenario. In the present article image processing technique is explained briefly and its application in mineral industry has been summarised. A case study of ferruginous Indian manganese ore is presented. These ores show variation in their colour owing to variation in chemical composition. These ores were studied in red, green and blue colour space, histogram analysis; textural analysis and edge detection technique were used for separation of alumina lumps and to distinguish different ores. It shows acceptable results to carry out further studies for developing new cost effective ore blending and ore sorting methodologies for mineral industry. MATLAB 7·0 was used for image processing studies.
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