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Fragmentation measurement using image processing

机译:使用图像处理的碎片测量

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In this research, first of all, the existing problems in fragmentation measurement are reviewed for the sake of its fast and reliable evaluation. Then, the available methods used for evaluation of blast results are mentioned. The produced errors especially in recognizing the rock fragments in computer-aided methods, and also, the importance of determination of their sizes in the image analysis methods are described. After reviewing the previous work done, an algorithm is proposed for the automated determination of rock particles’ boundary in the Matlab software. This method can determinate automatically the particles boundary in the minimum time. The results of proposed method are compared with those of Split Desktop and GoldSize software in two automated and manual states. Comparing the curves extracted from different methods reveals that the proposed approach is accurately applicable in measuring the size distribution of laboratory samples, while the manual determination of boundaries in the conventional software is very time-consuming, and the results of automated netting of fragments are very different with the real value due to the error in separation of the objects.
机译:在这项研究中,首先,对碎片测量中存在的问题进行了综述,以便对其进行快速,可靠的评估。然后,提及用于评估爆炸结果的可用方法。描述了特别是在计算机辅助方法中识别岩石碎片时产生的错误,以及在图像分析方法中确定其大小的重要性。在回顾了之前所做的工作之后,提出了一种算法,用于在Matlab软件中自动确定岩石颗粒的边界。该方法可以在最短时间内自动确定粒子边界。将所提出的方法的结果与Split Desktop和GoldSize软件在两种自动和手动状态下的结果进行了比较。比较不同方法提取的曲线表明,该方法可准确地用于测量实验室样品的大小分布,而传统软件中的边界手动确定非常耗时,而碎片自动生成网的结果非常实用由于对象分离的错误,与实际值有所不同。

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