Texture analysis of the microstructure of internal curing concrete based on image recognition technology

Mechanical properties of internal curing concrete are greatly affected by its physical such as water content, cementing material porosity, and saturation. At the micro- level, impact is finally reflected in surface texture materials. In this study, image recognition technology was used to find that samples have significant micromorphology features. A parameter–strength model established based on relationship between Tamura parameters, gray level co-occurrence matrix (GLCM) mechanical strength. Due sensitivity terms characteristics, coarseness, regularity directionality effective parameters for predicting compressive strength internally concrete. GLCM texture, energy, correlation, entropy, contrast predict Correlations each parameter follow different laws.