Fragmentation measurement using image processing

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 comput...

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Main Authors: Farhang Sereshki, Morteza Hoseini, Mohammad Ataei
Format: Article
Language:English
Published: University of Tehran 2016-12-01
Series:International Journal of Mining and Geo-Engineering
Subjects:
Online Access:http://ijmge.ut.ac.ir/article_59831_a71eaf1c8f86a2bf5298de82c13231a6.pdf
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spelling doaj-445b5d16ffa94a4e84326a2a0813f0742020-11-24T23:05:50ZengUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-69302345-69492016-12-0150221121810.22059/ijmge.2016.5983159831Fragmentation measurement using image processingFarhang Sereshki0Morteza Hoseini1Mohammad Ataei2Faculty of Mining, Petroleum and Geophysics Engineering, University of ShahroodFaculty of Mining, Petroleum and Geophysics Engineering, University of ShahroodFaculty of Mining, Petroleum and Geophysics Engineering, University of ShahroodIn 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.http://ijmge.ut.ac.ir/article_59831_a71eaf1c8f86a2bf5298de82c13231a6.pdfAuto delineationFragmentation MeasurementGoldSizeMATLAB softwareSplitDesktop
collection DOAJ
language English
format Article
sources DOAJ
author Farhang Sereshki
Morteza Hoseini
Mohammad Ataei
spellingShingle Farhang Sereshki
Morteza Hoseini
Mohammad Ataei
Fragmentation measurement using image processing
International Journal of Mining and Geo-Engineering
Auto delineation
Fragmentation Measurement
GoldSize
MATLAB software
SplitDesktop
author_facet Farhang Sereshki
Morteza Hoseini
Mohammad Ataei
author_sort Farhang Sereshki
title Fragmentation measurement using image processing
title_short Fragmentation measurement using image processing
title_full Fragmentation measurement using image processing
title_fullStr Fragmentation measurement using image processing
title_full_unstemmed Fragmentation measurement using image processing
title_sort fragmentation measurement using image processing
publisher University of Tehran
series International Journal of Mining and Geo-Engineering
issn 2345-6930
2345-6949
publishDate 2016-12-01
description 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.
topic Auto delineation
Fragmentation Measurement
GoldSize
MATLAB software
SplitDesktop
url http://ijmge.ut.ac.ir/article_59831_a71eaf1c8f86a2bf5298de82c13231a6.pdf
work_keys_str_mv AT farhangsereshki fragmentationmeasurementusingimageprocessing
AT mortezahoseini fragmentationmeasurementusingimageprocessing
AT mohammadataei fragmentationmeasurementusingimageprocessing
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