Research on Methods of Tire Sensory Measurement Based on Image Processing
This paper proposes and analyzes sensory measurement of tire based on image processing, which uses tangent value method, proportion method and Euclidean distance method to detect tire pressure and overload and uses Tamura texture features to describe tire abrasion level. The research presents a contactless way to detect tire pressure, overload and abrasion level and has certain advantages and innovations in function and implementation compared with existing TPMS which can’t detect the tire abrasion level. This research is an application of image processing-based computer vision in tire sensory measurement; it makes the measurement of tire automatically and intelligently and can be used to prevent traffic accidents caused by tires effectively. There are practical values.
Ran Chen and Wenli Yao
R. B. Chen et al., "Research on Methods of Tire Sensory Measurement Based on Image Processing", Advanced Materials Research, Vols. 230-232, pp. 900-904, 2011