基于小波分析的仪表板质量检测

Shu-guang Liu, M. Liu, Yue He
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引用次数: 17

摘要

小波变换在空间域和频域都具有良好的局部性能。二维离散小波变换是图像处理中较为理想的子带分析/合成子系统。基于小波变换的基本理论,成功地将边缘检测方法应用于水表图像的特征提取。为了获得仪表在量具面板上的指向误差,提出了一种新的机器视觉指向精度评价准则。在此基础上,开发了汽车仪表板的机器视觉检测系统。它用于汽车装配线,执行高精度的质量检测任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Checking on the quality of gauge panel based on wavelet analysis
The wavelet transform has good local performance in both spatial and frequency domains. The two-dimensional discrete wavelet transform is a nearly ideal subband analysis/synthesis subsystem in image processing. Based on the fundamental theory of the wavelet transform, an edge detection method is successfully used in the feature extraction of a meter's image. To obtain the pointing errors of meters on a gauge panel, a new machine vision inspection criterion for the assessment of pointing accuracy is proposed. On the basis of this research, a machine vision inspection system for automobile gauge panels is developed. It is used in an automobile assembly line, performing quality inspection tasks with high accuracy.
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