Algorithms of the cluster and morphological analysis for mineral rocks recognition in the mining industry O. E. Baklanova, M. A. Baklanov
Material type:
ArticleSubject(s): минералы | кластерный анализ | морфологический анализ | горнодобывающая промышленностьGenre/Form: статьи в сборниках Online resources: Click here to access online
In:
Intelligent computing theories and application : proceedings of the 12th international conference, ICIC 2016, Lanzhou, China, August 2–5, 2016 Pt. 2. P. 268-278Abstract: 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.
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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