The study of an improved fuzzy edge detection algorithm in the radial tire quality detection

The internal radial tire defects will affect the performance and the service life of the automobile. But the traditional detection method is to observe and detect in eyes using X-ray map which result that a lot of quality problems can not properly been judged out. This paper describes the X-ray image recognition using a fuzzy algorithm. The improved algorithm simplifies the traditional fuzzy algorithm complexity without the transform and inverse transform. The experimental results show that the improved algorithm makes the computational efficiency and extract more refined and clear edge for the radial tire which can correctly identify the failure and provide the necessary data processing.