Fragmentation measurement using image processing

Q4 Earth and Planetary Sciences
F. Sereshki, M. Hoseini, M. Ataei
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引用次数: 12

Abstract

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.
基于图像处理的碎片测量
本文首先对破碎度测量中存在的问题进行了综述,以期对破碎度进行快速、可靠的评估。然后,介绍了现有的爆破效果评价方法。论述了计算机辅助方法在岩石碎片识别方面产生的误差,以及确定岩石碎片大小在图像分析方法中的重要性。在回顾前人工作的基础上,提出了一种在Matlab软件中自动确定岩石颗粒边界的算法。该方法可以在最短的时间内自动确定粒子边界。在自动和手动两种状态下,与Split Desktop和GoldSize软件的结果进行了比较。通过对不同方法提取的曲线进行比较,发现本文方法能够准确地适用于实验室样品的尺寸分布测量,而传统软件手工确定边界非常耗时,碎片自动网分结果由于物体分离误差与实际值相差很大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Mining and Geo-Engineering
International Journal of Mining and Geo-Engineering Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
12 weeks
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