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首页> 外文会议>CAMP '95 : Computer architectures for machine perception >Real-time Visual Inspection of Moulded Plastic Drippers
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Real-time Visual Inspection of Moulded Plastic Drippers

机译：实时视觉检查模制塑料滴头

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An automated inspection method is sketched and its parallel implementation on a MIMD multiprocessor is discussed.rnThe method is based on a segmentation of gray level views of the test object and on the extraction and measurement of meaningful blobs from the segmented images. Segmentation is performed processing the histogram of pixel intensities; blobs extraction is based on the application of the distance transformation to interest regions.rnThe method is able to detect shape defects affecting a type of moulded plastic drippers; typical defects revealed are: incompleteness, excess of moulded material along the joint lines, incompleteness of a labyrinth-like mask moulded on the dripper surface. The algorithm consists of several steps that can be easily implemented on a MIMD architecture using both a shared or a distributed memory approach. The implementation on the hierarchical shared memory ViP multiprocessor is discussed; drippers can be efficiently analyzed on this kind of system, configured with 3 clusters of 4 processors each, at the production rate of two per second, making possible single piece quality certification.
机译：概述了一种自动检查方法，并讨论了其在MIMD多处理器上的并行实现。该方法基于测试对象的灰度视图分割，以及从分割图像中提取和测量有意义的斑点。分割是通过处理像素强度的直方图进行的；斑点的提取是基于对感兴趣区域的距离变换的应用。该方法能够检测影响一种类型的塑料滴头的形状缺陷。典型的缺陷是：不完整，沿接缝线的成型材料过多，滴头表面成型的迷宫式口罩的不完整。该算法包括几个步骤，可以使用共享或分布式内存方法在MIMD体系结构上轻松实现。讨论了分层共享存储器ViP多处理器的实现；可以在这种系统上有效地分析滴头，该系统配置有3个集群，每个集群4个处理器，每秒生产率为2个，从而使单件质量认证成为可能。

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