Machine Vision-Based Measurement of Inner and Outer Diameter Parameters of Circular Saw Blades

For the center aperture and outer diameter of circular saw blades, most of them rely on caliper detection, which is inefficient and easy to produce errors. In this paper, the Hough circle detection algorithm is improved, and the detection efficiency of the algorithm is improved by dividing four edge zones and randomly selecting candidate points from three edge regions, which reduces the number of samplings points and improves the detection efficiency of the algorithm. The improved Hough circle detection algorithm is used to detect the center aperture and outer diameter of the circular saw blade, which greatly reduces the inspection time. Experiments show that the detection method has the advantages of high measurement accuracy and fast detection speed and has a wide application prospect in the measurement of geometric parameters of circular saw blades, and is suitable for the parameter measurement of disc parts.