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An Defect Detection Method Based on Zernike Moments for Industrial CT Image

机译:基于Zernike矩的工业CT图像缺陷检测方法

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Industrial comput fault scan imaging is able to provide intuitive and clear images, without any overlapped pictures or geometrical distortion and it is widely used in nondestructive test. When we use industrial CT to conduct nondestructive test on defect and assembly error of batches of complicated workpiece, we meet some problems about distinguishing CT image with manual method, thus assembly defect detection method based on Zernike moments is put forward, which is identification method in two steps. Firstly, it uses rapid arithmetic to select a possible matched location through reliable method with a low amount of calculation. Secondly, it will conduct further estimation on matched location using Zernike Moments and then select accurate matched location. The test has indicated that selection method we adopted is feasible and it is effective to use Zernike Moments for the final judgment. This method is fairly helpful for detecting neglected-loaded accessories and error assembly location.
机译:工业计算机故障扫描成像能够提供直观,清晰的图像,而不会出现任何重叠的图片或几何失真,并且已广泛用于无损检测中。当我们使用工业CT对一批复杂工件的缺陷和组装误差进行无损检测时,遇到了手工识别CT图像的一些问题,因此提出了基于Zernike矩的组装缺陷检测方法,即识别方法。两步。首先,它使用快速算法,通过可靠的方法来选择可能的匹配位置,而计算量很少。其次,它将使用Zernike Moments对匹配的位置进行进一步的估计,然后选择准确的匹配位置。测试表明,我们采用的选择方法是可行的,使用Zernike矩进行最终判断是有效的。该方法对于检测被忽视的附件和错误组装位置非常有帮助。

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