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Three-dimensional Reconstruction for High-speed Volume Measurement

机译:高速体积测量的三维重建

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摘要

Volume measurement is an important process for various industries such as food processing, fruit and vegetable grading, etc. Value or price is often determined by the size fo product. In seafood industry, for example, oyster meat is separated into four grades before being packaged. Large size grade means higher selling price than small size. More consistent packaging size is also an indication of high quality. Product size can be measured optically with machine vision technology for on-line inspection and grading systems. Most optical grading techniques use a two-dimensional area projection or the weight of the product to estimate the actual product volume. These methods are subject to measurement inaccuracy because of the missing thickness information. An algorithm combines laser triangulation technique with two-dimensional measurement to reconstruct a three-dimensional surface for volume measurement is introduced in this paper. The result of this technique shows a significant accuracy improvement from the area-projection method.
机译:体积测量是诸如食品加工,水果和蔬菜分级等各个行业的重要过程。价值或价格通常取决于产品的尺寸。例如,在海鲜行业中,牡蛎肉在包装之前被分为四个等级。大尺寸等级意味着比小尺寸更高的售价。更一致的包装尺寸也是高质量的标志。产品尺寸可以使用机器视觉技术以光学方式进行在线检查和分级系统测量。大多数光学分级技术使用二维区域投影或产品重量来估计实际产品体积。由于缺少厚度信息,因此这些方法的测量不准确。本文介绍了一种将激光三角测量技术与二维测量相结合的算法,以重建三维表面以进行体积测量。该技术的结果表明,与面积投影方法相比,精度有了显着提高。

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