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《MECHANICAL SCIENCE AND TECHNOLOGY》 1998-02
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An Intelligent Inspection Method for Automobile Gauge Panel Based on Machine Vision

Liu Shuguang 1 Liu Mingyuan He Yue ( 1 Northwest Textile Institute of Science and Technology, Xi′an 710048)  
A machine vision inspection system for automobile gauge panel is put forward. The key issue to the gauge panel quality inspection is to detect the image edge and define the pointing errors. To remove the noise and extract the edge effectively, an edge detection method using wavelet transform modulus local maxima 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 the research works above, a machine vision inspection system for automobile gauge panel is successfully developed.
【CateGory Index】: TP24
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