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IMAGE SEGMENTATION TECHNIQUE FOR LOCATING AUTOMOTIVE PARTS ON BELT CONVEYORS

机译:用于在皮带输送机上定位汽车部件的图像分割技术

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A simple, model free computer vision program to determine the locations of non-overlapping parts on belt conveyors is described. This program illustrates a simple and effective procedure for segmenting objects from background in instances where simple thresholding of a gray-level image does not suffice. The procedure consists of a unique sequence of standard image enhancement processes. The resultant image exhibits silhouettes of the objects, which contain sufficient information for locating those parts whose orientation can be determined without observation of internal features. The technique has been implemented on a large research computer, as well as a mini-computer coupled to a prototype belt conveyor-robot arm part transfer system. The technique has been validated for a large variety of parts and belt surfaces. It can meet production rates and has the potential for actual production use.
机译:一种简单的模型免费计算机视觉程序,用于确定皮带输送机上的非重叠部件的位置。该程序说明了在灰度级图像的简单阈值处理的实例中从背景中分割对象的简单有效过程。该过程包括一种唯一的标准图像增强过程序列。所得到的图像表现出物体的轮廓,其包含足够的信息,用于定位可以在不观察内部特征的情况下确定其取向的那些部分。该技术已经在大型研究计算机上实现,以及耦合到原型带式输送机 - 机器人臂部件传送系统的迷你计算机。该技术已被验证为各种部件和皮带表面。它可以满足生产率并具有实际生产的潜力。

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