Image Processing Technology to Determine the Parameters of the Internal Structure of Composite Materials

Abstract

Automated intelligent decision-making systems, working with the use of mathematical methods of data processing, can reduce the influence of the human factor in the analysis, reduce the time spent on research, improve the accuracy and reliability of the results. They help automate the quality control process and enable association material properties to its microstructure. Numerical and experimental studies of the material microstructure can be implemented using hybrid methods with the introduction of computer simulation methods. The paper proposes to use the OpenCV technology for image analysis of cast iron with spherical graphite inclusions, followed by classification of the recognized material. The optimal parameters of image preprocessing and edge recognition are set. The result of the presented work is the distribution function of inclusions depending on their concentration on the plane.