Abstract
In order to eliminate driving dangers caused by tire surface bubbles, the detection method of bubble defects on tire surfaces based on line lasers and machine vision is studied. Since it is difficult to recognize tire surfaces directly through images, line laser scanning is used to obtain tire images. The filtering method and morphology method are combined to preprocess these images. The gray centroid method is adopted to extract the center of the laser stripe, and then the algorithm to determine the positions of bubble defects on tire surfaces is proposed. According to the geometric characteristics of tire bubbles, the coordinates of starting points, ending points, and rough positions of vertices are determined. Then, the ordinates of the laser center with sub-pixel accuracy near bubble vertices are discretely magnified. The mask made of Gaussian function is convoluted with the magnified region, and the maximum value is obtained. Furthermore, the position of bubble vertices can be accurately extracted. The denoising effects of different methods for images are compared through experiments, and different positions of bubbles are detected. Experimental results show that the detection accuracy of this method is up to 93%, which is much higher than other methods. Experiments verify that the proposed method is effective for detecting tire surface bubbles.
Highlights
The structure of tires is complex, which can lead to the formation of bubble defects in the forming process because of the influence of material properties and the manufac‐turing technique
The main contribution of this paper is to use line lasers and machine vision to complete the detection of bubble defects; together, they can obtain the exact location of bubble defects, overcome the shortcomings of manual operation, improve detection effi‐
Tire bubble defects are inevitable in the production process; these seriously endanger the safety of car driving
Summary
The structure of tires is complex, which can lead to the formation of bubble defects in the forming process because of the influence of material properties and the manufac‐. Compared with the tire gray‐scale value, the line laser has a higher gray‐scale value It can show the changes of the tire surface intuitively, which is helpful to the detection of bubbles. In the process of tire bubble detection, compared with the above research, there are similarities between the acquisition of target images and the processing method of line lasers in this paper, which is worth learning. Because of the advantages of line lasers, such as safety, simple structure, low cost, and high robustness, the line laser is used as a light source to obtain tire defect images. The main contribution of this paper is to use line lasers and machine vision to complete the detection of bubble defects; together, they can obtain the exact location of bubble defects, overcome the shortcomings of manual operation, improve detection effi‐. Ciency and accuracy to a higher level, and make defect detection tend to the development of automation
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
