Development of methods and algorithms of reduction for image recognition to assess the quality of the mineral species in the mining industry

被引：3

作者：

Baklanova, Olga E. ^{[1
]}

Shvets, Olga Ya ^{[1
]}

机构：

[1] D.Serikbayev East-Kazakhstan State Technical University, Ust-Kamenogorsk

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8888卷

关键词：

Computer vision; Image recognition; Mineral species; Petrographic analysis; Reduction for image;

D O I：

10.1007/978-3-319-11331-9_10

中图分类号：

学科分类号：

摘要：

This paper contains development of methods and algorithms of reduction for image recognition of mineral spices. It is known according to the practice of analyzing graphic pictures that for the majority of the digital images of the real world their size linear decreasing to a certain threshold does not lead to loss of the analyzed information. The main objective of this approach - define a threshold reduction of digital images. Some realizations of this algorithm are presented by defining criterion quantifying the loss of informative of modified image based. Few examples concerning with reduction in the solving of mineral species recognition problems are described and discussed. © 2014 Springer International Publishing Switzerland.

引用

页码：75 / 83

页数：8

共 13 条

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