基于统计特征的轮胎纹理缺陷在线检测

根据轮胎X光纹理缺陷区域灰度及灰度分布异常的特点,研究了一种通过分析统计特征进行在线缺陷检测的方法。在轮胎X光纹理灰度分布模型基础上,采用正则化预处理去除背景噪声,然后进行图像分块,分别计算每块的灰度均值和方差,并采用双线性插值运算形成均值图像和方差图像,再通过二值化实现缺陷检测。实验表明,与人工检测方法进行对比,该方法误判率低,检测精度高,并且运算速度快,能满足在线检测要求。

Defects on-line detection of tire textures based on statistical features

According to the abnormality of gray mean and gray distribution of defect region in tire X-ray texture images,an approach based on analysis of statistical features is proposed to implement on-line detection of texture defects.Based on the gray distribution model of tire X-ray texture,the background noise of image is eliminated by normalization preprocessing.Image is divided into blocks,and then gray mean and variance of each block are computed.The mean image and variance images are formed by bilinear interp...