轮胎胎面花纹边界特征提取方法研究

在对轮胎花纹造型特征研究的基础上,对胎面花纹边界特征提取在逆向数字化建模中的应用方法进行研究。在空间切片分层和投影图像特征提取的基础上,提出了一种基于灰度图像区域增长的边界特征提取方法。该方法首先借鉴切片分层的思想,采用同心球与扇形混合空间分割方案以及主成分统计分析方法,将三维扫描点云投影为带有深度值的胎面花纹灰度图像,然后利用区域增长方法提取出花纹边界特征点。试验结果表明,该方法能够处理各种复杂的半钢子午线轮胎花纹,可在约50s内完成360°3D花纹的特征点提取,提取误差较小。该方法从底层解决了逆向工程技术在轮胎行业中的应用,在对诸多新型轮胎花纹测试中具有较好的精确性、高效性及广泛的自适应性,能有效地缩短开发周期并改善轮胎的综合性能。

Research on Boundary Features Extraction for Tire Tread Patterns

To absorb the international advanced technical indicators of the tire, performance analysis of decorative pattern, optimization of process. On the basis of the study of the characteristics of the tire tread pattern, a method of boundary features extraction for tread patterns applied in tire reverse digital modeling is studied. A method of pattern reconstruction is proposed based on the region growing feature extraction of gray image and adaptive processing feature approximation, which is on the basis of space slice stratification and projected image feature extraction. First of all, project 3D scanning cloud points into a tread gray image with depth, utilizing the space segmentation scheme of spherical mixed with sector and the method of statistics and analysis referenced by the principle of layering slicing. Then the pattern boundary feature points are extracted through region growing method. The results show that the method can deal with various complex semi-steel radial tire patterns, within about 90s to complete the feature extraction of 360 degree 3D patterns, extraction error is not more than 0.15mm, and the maximum value is at most 0.3mm.