The invention discloses a
machine vision-based tire
tread detection method and provides a
machine vision-based tire
tread detection method. According to the technical scheme of the invention, based on the
machine vision
software halcon technology and the
image processing algorithm, the
system reliability and the measurement accuracy are ensured, and the production efficiency and the product quality are improved. In this way, the intelligent tire
tread detection is realized and the urgent demand of social production is met. According to the method, a tire tread image is photographed by an industrial camera, and then a to-be-processed region of the image is extracted based on
grayscale distribution characteristics after being subjected to smooth filtering and threshold segmentation. After that, the pre-preprocessed image is subjected to
feature selection, so that the length of the tire tread can be recognized. The lower
line segment of the tire tread is extracted by using an
edge detection operator, and the included angle thereof relative to a
horizontal line segment, namely the tilt angle thereof, can be figured out. The mapping relation between the coordinates of the image and the length thereof is calibrated, and then the
actual length of the tire tread can be calculated. The method is fast in detection speed and high in precision.