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Development of Methods and Algorithms of Reduction for Image Recognition to Assess the Quality of the Mineral Species in the Mining Industry

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8671)

Abstract

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.

Keywords

Reduction for image Image recognition Computer vision Mineral species Petrographic analysis 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.D.Serikbayev East-Kazakhstan State Technical UniversityUst-KamenogorskThe Republic of Kazakhstan

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