中文说明：利用”合适的”Gabor小波作为“探针”，检测轮胎的两类质量缺陷:轮胎内钢丝往不均匀、有金属异物。利用机器视觉实现轮胎X-光图像纹理呈现明显的准周期性和规则性，鉴于此设计了能反映该规律性的小波函数，实现对轮胎内存在异物和钢丝帘线分布不匀等异常检测。实验结果与传统的灰度共生矩阵法相比，本文方法具有对缺陷位置定位精确、运算快速等优点
English Description：
The use of "appropriate" Gabor wavelet as a "probe", two kinds of quality defect detection of tire: tire inner wire to uneven, with a metal foreign body.The realization of tire X- ray image texture show quasi periodic and regular obvious use of machine vision, in view of this design can reflect the regularity of the wavelet function, the realization of the uneven distribution of anomaly detection in foreign tire such as memory and steel cord. The experimental results of gray level co-occurrence matrix method compared with the traditional method, this paper has the defect location accurate positioning, fast operation etc.