Identification of new indicators for recognition of cutting grains and wear of the grinding wheel based on image recogntion

In this paper, a set of indicators for an effective assessment of the cutting ability of a grinding wheel was established based on the detection of the degree of filling and immersion of abrasive edges. It has been pointed out that a profile of a populated circle has a direct correlation with the average number of recognized faces. A new indicators for measuring zones with active edges and their distribution on the surface of a grinding wheel was developed, which can be identified by the models algorithms, is formed