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首页> 外文期刊>IEEE Transactions on Robotics and Automation >Specular surface inspection using structured highlight and Gaussian images
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Specular surface inspection using structured highlight and Gaussian images

机译:使用结构化高光和高斯图像进行镜面检测

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摘要

The structured highlight inspection method uses an array of point sources to illuminate a specular object surface. The point sources are scanned, and highlights on the object surface resulting from each source are used to derive local surface orientation information. The extended Gaussian image (EGI) is obtained by placing at each point on a Gaussian sphere a mass proportional to the area of elements on the object surface that have a specific orientation. The EGI summarizes shape properties of the object surface and can be efficiently calculated from structured highlight data without surface reconstruction. Features of the estimated EGI including areas, moments, principal axes, homogeneity measures, and polygonality can be used as the basis for classification and inspection. The structured highlight inspection system (SHINY) has been implemented using a hemisphere of 127 point sources. The SHINY system uses a binary coding scheme to make the scanning of point sources efficient. Experiments have used the SHINY system and EGI features for the inspection and classification of surface-mounted-solder joints.
机译:结构化高光检查方法使用点光源阵列来照亮镜面物体表面。扫描点源,并使用每个源在对象表面上产生的高光来导出局部表面方向信息。通过在高斯球体的每个点上放置与物体表面上具有特定方向的元素面积成比例的质量,可以得到扩展的高斯图像(EGI)。 EGI概述了对象表面的形状属性,无需进行表面重构即可从结构化高光数据有效地计算出EGI。估计的EGI的特征(包括面积,力矩,主轴,同质性度量和多边形)可以用作分类和检查的基础。结构化高光检查系统(SHINY)已使用127个点光源的半球实现。 SHINY系统使用二进制编码方案来提高点源的扫描效率。实验已经使用SHINY系统和EGI功能对表面贴装式焊接点进行检查和分类。

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