A quality assessment method for recycled coarse aggregate based on image operations

A two-parameter quality evaluation method based on image recognition was proposed to quantitative evaluation of the weak mortar layer on the surface of recycled coarse aggregate (RA). The accuracy of traditional image recognition technology used in the interface recognition between mortar and RA is improved by constructing a clustering algorithm based on color space conversion. Thus, the accurate measurement of the mortar adhesion rate and shape coefficient based on the quantitative index of the natural aggregate particle type characteristics is realized. Results show that: (1) the clustering algorithm successfully solves the problem of the color and shadow interference between RA and mortar; (2) this method has the advantages of non-contact, low cost, automation. It can build two application modes of the online detection system and on-site portable detection equipment; (3) the quantitative evaluation system was established and can provide a scientific basis for the classification and utilisation of RA.