Methods and Algorithms of Image Recognition for Mineral Rocks in the Mining Industry

被引：7

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：

ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT II | 2016年 / 9713卷

关键词：

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

D O I：

10.1007/978-3-319-41009-8_27

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 development of methods and algorithms of image recognition for mineral rocks. Algorithms of the cluster and morphological analysis to determinate colors and shapes for composition of rocks are described. This approach is actual because of existence of objects with similar color-brightness characteristics, but different shapes or objects that have similar color-brightness characteristics. Preliminary determination of group membership allows reducing the computational complexity of classification. Sorting by group produces color of the object is determined at the stage of segmentation. Few examples of segmentation algorithms in the solving of mineral rock recognition problems are described and discussed.

引用

页码：253 / 262

页数：10

共 13 条

[1]

[Anonymous], 1984, 2570683 ISO

[2]

Baklanova O.E., 2014, IFIP AICT, V436, P604, DOI [10. 1007/978-3-662-44654-6, DOI 10.1007/978-3-662-44654-6]

[3]

Baklanova O.E. ., 2014, P 11 INT C SIGN PROC, V165 - 171, DOI [: 10.5220/0005022901650171., DOI 10.5220/0005022901650171]

[4] Development of methods and algorithms of reduction for image recognition to assess the quality of the mineral species in the mining industry [J].

Baklanova, Olga E. ;

Shvets, Olga Ya .

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8888 :75-83

[5]

Chris P., 2002, SMITHSONIAN HDB

[6]

Clarke A.R., 2002, MICROSCOPY TECHNIQUE

[7]

Farndon J., 2006, PRACTICAL ENCY ROCKS

[8]

Gonsales R. C., 2011, DIGITAL IMAGE PROCES, P976

[9]

Harvey B., 1995, PETROLOGY IGNEOUS SE

[10] Extensions to the k-means algorithm for clustering large data sets with categorical values [J].

Huang, ZX .

DATA MINING AND KNOWLEDGE DISCOVERY, 1998, 2 (03) :283-304

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