Image detection and parameterization for different components in cross-sections of radial tires. (February 2022)

• Record Type: Journal Article
• Authors: Liu, Chen; Dong, Yude; Wei, Yanli; Wang, Jiangtao; Li, Hongling
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 236:Number 2/3(2022)
• Page Start: 287
• Page End: 298
• Publication Date: 2022-02
• Subjects: Tire cross-section -- target detection -- digital image processing -- connected domain extraction -- Hough transform; Mechanical engineering -- Congresses; Transportation engineering -- Congresses; 629.2
• DOI: 10.1177/09544070211023628
• Languages: English
• ISSNs: 0954-4070

Abstract

The internal structure analysis of radial tires is of great significance to improve vehicle safety and during tire research. In order to perform the digital analysis and detection of the internal composition in radial tire cross-sections, a detection method based on digital image processing was proposed. The research was carried out as follows: (a) the distribution detection and parametric analysis of the bead wire, steel belt, and carcass in the tire section were performed by means of digital image processing, connected domain extraction, and Hough transform; (b) using the angle of location distribution and area relationship, the detection data were optimized through coordinate and quantity relationship constraints; (c) a detection system for tire cross-section components was designed using the MATLAB platform. Our experimental results showed that this method displayed a good detection performance, and important practical significance for the research and manufacture of tires.