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RANGE IMAGE ANALYSIS FOR THE GREENHOUSE AUTOMATION IN INTELLIGENT PLANT FACTORY

机译:智能工厂温室自动化的图像图像分析

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In the paper, the range image analysis is examined. For the intelligent plant factory, computer integrated system has been introduced for these years. Now, it proved excellent to develop the intelligent plant factory. Further, it becomes necessary and inevitable that the characteristic of such the range images as crops and fruits distributed in these system should be taken into account to the decision factor of these systems. For the purpose of both designing of the virtual system and putting greenhouse automation including agro-robot into practice, 3-D recognition is an urgent theme. It is difficult, however, to do it for real time use in small computer. But, for agricultural purpose, it may be allowable that the model is limited to polyhedral shape with convex surface. In the condition, we proposes new approach to 3-D shape recognition for real time use. Supposing the parameter (e/L) given in Figure 6, effective algorithm is found for the agricultural use.
机译:在本文中,对距离图像分析进行了研究。对于智能工厂工厂,这些年来已经引入了计算机集成系统。现在,事实证明,发展智能工厂工厂是绝佳的选择。此外,有必要和不可避免的是,应考虑这些系统的决策因素来考虑诸如分布在这些系统中的农作物和水果之类的距离图像的特性。为了设计虚拟系统并实现包括农业机器人在内的温室自动化,3D识别是当务之急。但是,很难在小型计算机中实时使用它。但是,出于农业目的,可以将模型限制为具有凸面的多面体形状。在这种情况下,我们提出了一种用于实时使用的3D形状识别的新方法。假设图6中给出的参数(e / L),找到了用于农业的有效算法。

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