Detection and Classification of Car Tier Defect by Using Image Processing Algorithms

According to industry developments in recent decades with the rise in unit quality control and instrumentation engineering for product quality measurement unit, various methods is used for quality control. Review and evaluate the quality of tires in the production of particular importance is the need, because it is the most important piece of safety in cars. Common procedure for measuring the quality of tire produced in the Iran tire industry is the dynamic tests which is very useful but the image processing algorithms are more useful and more optimzed. For porpuse of using these methods, raw pictures should be captured. Lots of modules can be used in this process like X-ray or visible radiations and infrared ones. These two methods has some drawbacks due to human eyes which other procedures should be implemented. In this paper a novel algorithm for detection and classification of car tier defect is propsed. In this algorithm, first X-rays pictures are captured then Kenni image processing algorithm and mathematical mophology is applied on them. This method is offered for the first time which has a better anwer than previous methods.