Flaw detection in vehicular wheel based on anti-geometric diffusion

Wu Yuan, Huang Qian, Situ Wuchao
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引用次数: 2

Abstract

This paper presents a new method for detecting flaws in vehicular wheel based on anti-geometric diffusion. The classical image-processing methods for flaw detection can not produce a result with satisfaction, because the shape of the flaw can't be outlined exactly and these methods usually can do nothing about the flaw image with unhomogeneous lighting background. A new two-step technique is proposed in the paper. First, we use an anisotropic diffusion model to the flaw image with noise, this step can eliminate the noise and keep the shape of the flaws. Second, we use anti-geometric diffusion to the image, which is the result of first step, this step can track the flaws very accurately though unhomogeneous lighting background may be exist in the flaw image. Using this method, the flaws can be detected with high certainty. Our experiments also give the good results based on this new method.
基于反几何扩散的车辆车轮缺陷检测
提出了一种基于反几何扩散的车辆车轮缺陷检测新方法。传统的图像处理方法在检测缺陷时,由于不能准确地勾勒出缺陷的形状,而且对于光照背景不均匀的缺陷图像,这些方法通常无能为力,因此不能得到令人满意的结果。本文提出了一种新的两步法。首先,采用各向异性扩散模型对带有噪声的缺陷图像进行处理,这一步既能消除噪声又能保持缺陷的形状;其次,我们对图像进行反几何扩散,这是第一步的结果,这一步可以非常准确地跟踪缺陷,尽管缺陷图像中可能存在不均匀的照明背景。使用该方法,可以以较高的确定性检测出缺陷。实验结果表明,该方法具有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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