Abstract
This paper describes an algorithm for automatic segmentation of color images of various ore types, using the methods of morphological and cluster analysis. There are some examples illustrating the usage of the algorithm to solve mineral recognition problems. The effectiveness of the proposed method lies in the area of automatic objects of interest identification inside the image, tuning the parameters of the amount allocated to the segments. This paper contains short description of morphological and cluster analysis algorithms for the mineral recognition in the mining industry.
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Baklanova, O.E., Baklanov, M.A. (2016). Algorithms of the Cluster and Morphological Analysis for Mineral Rocks Recognition in the Mining Industry. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_23
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DOI: https://doi.org/10.1007/978-3-319-42294-7_23
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