基于小波分解的非均匀光照图像配准

Bing Luo, Junying Gan
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引用次数: 3

摘要

在PCB贴片组装产品的自动机器视觉检测中,图像配准是获得整个PCB图像的必要条件。由于工程图像采集中光照的不均匀性,传统的拼接方法难以处理。小波分解的高频系数反映了图像的轮廓,光照变化的高频系数相对较小。因此,基于小波分解的图像配准对机器视觉检测具有较强的鲁棒性。利用小波分解系数的投影代替相互关联,可以将二维计算简化为一维计算。实验结果表明,该方法是有效的、鲁棒的、快速的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inhomogeneous illuminated images registration based on wavelet decomposition
In PCB SMT assembly products automated machine vision inspection, images registration is necessary for getting an entire PCB image. Because of inhomogeneous illumination in engineering images capturing, conventional mosaic method can not deal with it. High frequency coefficients of wavelet decomposition reflect the contour of the image and that of illumination variety is relative small. So images registration based on wavelet decomposition can be robust for machine vision inspection. Using projection of wavelet decomposition coefficients to instead of mutual correlation can simplify the calculation from 2D to 1D. Experimental results show this approach is effective, robust and quick.
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