Image Acquisition And Preprocessing Technology Of Tyre X-ray Inspection Manchine

With the increasing use of the tire, tire quality problems to become their own security risks. In particular all-steel radial tire wire quality defects guarantee safe driving a car. X-ray fluoroscopy imaging methods can detect visual defects in steel, but the X-ray images of poor quality, defects in the image needs to be done before a series of pre-extraction, including the non-uniformity correction, nonlinear enhancement processing.In this paper, X-ray inspection machine, based on analysis of the X-ray imaging principle, composed of test machines, image acquisition and transmission, image pre-processing techniques and image information extraction technology. U-type tires transmission X-ray detector scan the image to scroll through the display; the use of multi-threading technology and information technology for remote object handling and storage. This paper proposes a tire more than the X-ray images are superimposed belt of tread texture parts of the spectrum analysis method, were used when the angle of the wedge-shaped Gaussian filter to choose the information on the spectrum, the spectral information extracted reduced to gray-scale images and statistics, the formation of gray-scale histogram and statistical information to get the vector, the vector combination of all gray scale statistics and information into a grayscale image, by observing the choice of each can be used to measure a belt boundary information grayscale information vector, were selected based on the gray information vector, calculated for each belt position coordinates of the boundary, which will be superimposed on each other’s identification of the border belt out of reach of the border belt positioning purposes. For X-ray inspection equipment from the tire formed by X-ray image of the tire tread portion of the belt layer processing, through the use of Gabor filters, X-ray images for the tire belt layer stack due to the formation of complex textures tread to choose the information parts of the spectrum, the superposition of the belt texture separation, which can be used to further identify fetal defects crown area.