Algorithms of the Cluster and Morphological Analysis for Mineral Rocks Recognition in the Mining Industry

被引：1

作者：

Baklanova, Olga E. ^{[1
]}

Baklanov, Mikhail A. ^{[2
]}

机构：

[1] D Serikbayev East Kazakhstan State Tech Univ, Ust Kamenogorsk, Kazakhstan

[2] Tomsk State Univ, Tomsk, Russia

来源：

INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2016, PT II | 2016年 / 9772卷

关键词：

Pattern recognition; Segmentation of color images; Cluster analysis; Morphological analysis; Mineral rocks; Mining industry;

D O I：

10.1007/978-3-319-42294-7_23

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：268 / 278

页数：11

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