Authors:
Olga Baklanova
;
Vyacheslav Kornev
and
Olga Shvets
Affiliation:
East-Kazakhstan State Technical University, Kazakhstan
Keyword(s):
Petrographic Analysis, Digital Microscopy, Image Recognition, Evaluation of Reliability, Machine Vision, a Rock Sample.
Related
Ontology
Subjects/Areas/Topics:
Agent Based Modeling and Simulation
;
Complex Systems Modeling and Simulation
;
Environmental Modeling
;
Sensor Networks
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software and Architectures
Abstract:
The purpose of this paper is quantitative estimation of the reliability of digital microscopy systems for automated petrographic analysis. The proposed method consists in measuring the intensity of the three spectral components of the reflected light (red, green, blue) in each pixel of the investigated surface (frame) and using of methods of pattern recognition of images in geological and mineralogical researches of a rock sample. The proposed technology is offered for preparation of a rock sample in system to a quality and quantitative standard of the maintenance minerals with use of technical sight and software for increase of reliability of results. Statement of the problem is the following: it is necessary to develop a model for assessing the reliability of the monitoring process, taking into account the statistical nature of standards for petrographic analysis and using system process control agents. Mathematical models of an assessment and forecasting of reliability measuring s
ystem and control of the maintenance useful minerals in studied a rock sample are developed.
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