Abstract
Based on X-ray image of tire with periodic texture, this paper proposes an algorithm of detecting joint in #0 belt. Firstly, by projecting #0 belt image at 45° direction, we divide #0 belt image into several blocks with the same size based on periodic texture. Then, we find out the block containing joint and locate its upper and lower boundaries. Finally, upper and lower boundaries of joint are located by comparing the block containing joint with its corresponding standard block. The standard block is one of segmented blocks in first step. We quantify joint defects in #0 belt (large joint, small joint or appropriate joint), and experimental results show that our algorithm can accurately locate the joint and quantify the size of joint with 3.4% false positive rate and 2% false negative rate, which meets the industrial requirements.
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