Machine vision-based tire tread detection method

Abstract

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.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a tread detection method based on machine vision. Background technique [0002] Rubber tires are one of the important products of my country's chemical industry. Tire cutting is an important link in the production of semi-finished products in tire factories. The cutting accuracy directly affects the quality of tire forming semi-finished products, and then affects the internal quality of tire products. Most of the existing tire cut-to-length cutting systems install encoders in the system drive rollers, and when the system is moving, the length is determined by capturing a certain number of pulse signals and a cutting signal is sent out. Due to uncertain factors such as slipping of the tread during the operation of the transmission system, the tread cut out by the above method still needs to be measured twice to ensure product quality, and the traditional method ...

AI Technical Summary

Problems solved by technology

Due to uncertain factors such as possible slippage of the tread during the operation of the transmission system, the tread cut out by the above method still needs to be measured twice to ensure product quality, and the traditional method of the second measurement is to take samples by workers with a tape measure beside the production line Measurement, this detection method is not comprehensive enough, the measurement error is large, and the efficiency is low

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