Innovation and inheritability are the key requirements of tire pattern design. This article call attention to the similarity detection of tire patterns. A similarity detection method based on tire pattern features is proposed. Through in-depth analysis of the pattern structure, the tire pattern features are separated into shape and texture features. Shape features describe the arrangement rules between tire grooves and pattern blocks. On the other hand, texture features define each pattern block’s surface characteristics, groove depth, groove width, and other characteristics. The tire pattern raw data is firstly analyzed through digital image processing technology. Then, shape and texture features were recognized and separated using edge extraction and co-occurrence matrix methods, respectively. The tire pattern photos are then realized, measured, and detected for similarity following the rules of similarity theory. Experiments were designed to fit the framework of the given detection method. The test results prove that the proposed method can detect tire pattern similarity quickly and conveniently.

创新性和可继承性是轮胎花纹设计的关键要求。本文提请注意轮胎花纹的相似性检测。提出了一种基于轮胎花纹特征的相似度检测方法。通过对花纹结构的深入分析，将轮胎花纹特征分为形状特征和纹理特征。形状特征描述了轮胎凹槽和花纹块之间的排列规则。另一方面，纹理特征定义了每个图案块的表面特征、凹槽深度、凹槽宽度和其他特征。首先通过数字图像处理技术对轮胎花纹原始数据进行分析。然后，分别使用边缘提取和共生矩阵方法识别和分离形状和纹理特征。然后实现、测量轮胎花纹照片，并根据相似性理论规则检测相似性。设计实验以适应给定检测方法的框架。测试结果证明，所提方法可以快速、方便地检测轮胎花纹相似度。