According to X-ray image texture tire characteristics and abnormal distribution of the gray area, this paper studies a real-time defect detection method about the sidewall of tire. On the basis of the texture distribu...According to X-ray image texture tire characteristics and abnormal distribution of the gray area, this paper studies a real-time defect detection method about the sidewall of tire. On the basis of the texture distribution characteristics of X-ray tire, we extract the cord information of the tire image by maximizing the distance of the categories after the gray value correction, then we use the morphology method and statistics method to process the image so that we can get the location and the size of impurities. We can classify the tires into different grades by the information. Compared with other methods, our method has the advantage that meets the needs of tire industry.展开更多
基金Supported by Shandong Province Natural Science Foundation(No.ZR2011FL028)
文摘According to X-ray image texture tire characteristics and abnormal distribution of the gray area, this paper studies a real-time defect detection method about the sidewall of tire. On the basis of the texture distribution characteristics of X-ray tire, we extract the cord information of the tire image by maximizing the distance of the categories after the gray value correction, then we use the morphology method and statistics method to process the image so that we can get the location and the size of impurities. We can classify the tires into different grades by the information. Compared with other methods, our method has the advantage that meets the needs of tire industry.
