Research Of Automatic Tire X-Ray Image Analysis Algorithm

It is broadly proved that X-ray is efficient in tire inspection in order control the quality. Inspect tires using naked eyes is long-standing at home, which could make poor consistent and repeatable result, manpower waste and could make it hard to information manage. We propose a novel algorithm to solve such questions and make the inspection procedure without operator intervention. At present overseas manufactures have already developed tire automatic inspection system, but there is none such research at home. Our job would full up the blank in that field.This paper mostly studied how to inspect tires' disfigurement automatically by using the tire X-ray image. Firstly, preprocessing the image, such as select the interesting area and image enhancement. And then, we proposed a novel one dimension projective based fast image matching algorithm to inspect tire disfigurements. A novel image matching algorithm based on local invariant feature and histogram-based similar distance is also proposed to inspect dog ears. The next, aim at the area which probably contains disfigurements, take use of the extracted features and the features each disfigurement has to determine which kind of disfigurement it is. Finally, estimate the degree of the tires, and mark the area which the disfigurement exists.A great amount of images are used to test the algorithm based on the framework programmed by Visual C#.NET, and all get satisfactory results. The emulation results of each disfigurement are presented in this paper.It is proved that the algorithm we proposed is efficient to inspect the tire without operator intervention. Some of the common disfigurements are well recognized.