针对全钢子午线工程轮胎X 光无损检测的特点和技术要求，本文研制了一种基于X 光透射成像和图像模式识别技术的全钢子午线轮胎缺陷检测识别系统。本系统以扇形X 射线作为光源，用CMOS 线阵探测器采集连续无盲区、清晰的轮胎X 光全景图像，图像的横向分辨能力为0.08 mm；依据钢丝帘线缺陷的特质设计了相应的缺陷识别算法，在采集图像的同时对轮胎内部典型缺陷的自动识别检测。实验结果表明，本系统能够完成内径尺寸从23 inch 到35 inch 的子午线轮胎X 光图像的采集和轮胎内部异物和钢丝帘线交叉、搭接、稀线、排列不均、弯曲、断裂和带束层顺线等典型弊病的在线自动检测工作。

According to the characters and requirements of the nondestructive steel radial tire detection, an X-ray inspection and defect recognition system for all-steel radial tire is designed. The sector X-ray and linear CMOS camera are used to capture the non-blind area and full field radial tire x-ray digital image, and the lateral resolution of the image is 0.08 mm. Based on the character of the radial tire, the defect recognition algorithms are designed to segment and detect the inner defect of the radial tire automatically in the meantime of recording. Experimental results show that the defects of the tire with dimension ranges from 23 to 35 inch, such as bended Cord, crossed cord, wide spacing cord, broken cord, belt defects, impurity defects and so on, can be recognized on-line by the system.