Image processing has been widely utilized in mineral processing, especially in size, ash content analysis, and coal gangue identification. Vallebuona et al. [1] established a particle thickness model by measuring the twodimensional information of the particles to estimate their thickness, and then estimated the particle volume and mass to ...
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There are still many deficiencies in the contact electronic belt scale in the instrument measurement, but the use of image processing and other technologies ... is selected, and the grid size is 22 mm × 22 mm. ... equipment. Under the Win10 system, MATLAB is used for rawcoal image processing, Visual Studio 2022 (VS) code writing platform is ...
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An image segmentation algorithm for measurement of flotation froth bubble size distributions. Measurement (2017) Bhuiyan et al. Quantitative image analysis of bubble cavities in iron ore green pellets. ... Prediction of density and sulfur content level of high‑sulfur coal based on image processing. Powder Technology, Volume 407, 2022 ...
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Machine vision technology [12,13] is widely used in coal gangue image processing [14], target ... evaluation of the screening performance involves the measurement of particle size distribution of ...
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... Traditionally, the particle size distribution of coke was measured by combining methods of manual detection and mechanical vibration.
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By image processing, Yang [12] measured the particle size distribution of lump coal with a size range of ∼ 20 mm, and compared the statistical distribution with fractal distribution function and artificial sieving results, providing a novel and effective method for the particle size distribution measurement in the study of coal failure ...
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To obtain the geometrical statistics of the coal cleat network at the core scale, quantitative image analysis methods on the segmented microCT images have been developed. BossieCodreanu et al. (2004) and ( Mazumder et al., 2006) measured cleat density, spacing, orientations and aperture sizes using microCT scanning.
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Coal particle characteristic extraction is essential to prevent dust explosions. It is traditionally analyzed by manual screening, which is relatively timeconsuming and cannot automatically capture outlining. To address this issue, an accurate and automatic particle image segmentation method is highly demanded in the smart mine. Thus, a novel characteristic learning approach that applied ...
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In order to avoid measurement errors, field tests were repeated four times on May 20, May 26, August 12, and August 17, 2019. The average measurements of the four tests were employed to plot the histogram of the particle size distribution (mass ratio) for the front scraper and rear scraper coal bodies (Figures 3 and 4, respectively).The grain size of the coal cutting and coal caving is ...
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Image segmentation Deep learning Particle size analysis 1. Introduction Air pollution caused by coal combustion has caused widespread concern. Coal preparation, which is a part of clean coal utilization, plays a significant role in environmental protection [1].
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Top coal caving simulation test: put 300 mm crushed coal in the funnel, and then tiled 500 mm crushed gangues, the detector height was reduced to 200 mm from the platform bottom plate, the ...
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ΣVolume improved plugin performance and overall PSD parameters of ground coal. +1. An example ΣVolume PSD analysis plugin output of the ground coal, replication #4, physical size of image = 203 ...
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An image processing workflow to characterise coal cleat networks is introduced. ... Download fullsize image; Fig. 16. Spacing measurements along grid with ... Determination of the cleat angle distribution of the RECOPOL coal seams, using CTscans and image analysis on drilling cuttings and coal blocks. Int. J. Coal Geol., 73 (34) ...
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In this paper, an image analysis method using MATLAB is proposed to measure fragment size distribution of coal fragments. The acquisition setup, analysis step and coding process for fragment size distribution measurement by digital imaging processing are introduced in detail.
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This review is based on how to measure particle sizes with different image processing techniques. In addition to this, particle size significantly affects the mechanical properties of the material ...
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Although the use of image processing technology for coal gangue separation has made great progress, there are still some problems. For example, the use of support vector machine for coal gangue recognition requires artificial design features, which is greatly affected by human subjectivity. ... and the image size was set to 1024 × 2048; the ...
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To validate the feasibility of simultaneously measuring the size and velocity of coal powder by trajectory imaging, about 2000 coal particles with a size range of 100125 μm were recorded under the exposure time of 2 ms, and imaging magnification β= The obtained size and velocity were compared with that using the shadow image method ...
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Coal Based on Image Processing and SEM Technology Mingyue Jia 1, Wenhui Huang 1,2, * and Yuan Li 1 1 Key Laboratory for Marine Reservoir Evolut ion and Hydrocarbon Abundance Mechanism,
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A quantitative analysis of the porosity, pore size distribution, and fractal dimensions of pores is significant for studying the pore structure characteristics of coal. This study utilized 12 anthracite coal samples from the Sihe mining area to explore the pore structure characteristics of the coal therein. Hundred randomly selected points on each sliced coal sample were imaged via scanning ...
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Browse 1,362 authentic coal processing stock photos, highres images, and pictures, or explore additional coal mining or coal plant stock images to find the right photo at the right size and resolution for your project. coal mining. coal plant. coal washing. mining.
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The coal samples were mixed evenly and put into the image acquisition system to collect the images of the coal samples. Image segmentation processing was implemented, and an example picture of a coal sample segmented and marked with boundary lines was shown in Fig. 8. Download : Download highres image (157KB) Download : Download fullsize image
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The available realtime ash content measurement techniques include radiometry, photoelectric measurement, and image processing [3,4,5]. Among these techniques, radiometry is used most widely in coal industry, which can be divided into two categories,, sourcebased radiometry, and passive radiometry.
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Structure Parameters in Coal Based on Image Processing and SEM Technology. Energies 2023, 16, 1663. ... coalbed methane. The number of the pores, the size of a single pore, the characteristics of pore distribution, and the connectivity of pore space in coal reservoirs and coal seamrelated ... Although indirect measurements, with highpressure ...
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The statistical size distribution of coal fragments measured by image processing is compared with the theoretical distribution function and manual sieving results. This paper provides an innovative and eficient method for size distribution measurement in the study of coal failure process. Disciplines Engineering | Science and Technology Studies
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, Lianping Dong Add to Mendeley https://// Get rights and content • Image segmentation is utilised for coal particle size distribution analysis. • A watershed algorithm with gradient is employed for preliminary segmentation. • The knearest neighbour algorithm is utilised to merge small pieces to particles. •
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Online intelligent recognition of coal and gangue is an important aspect of coal mine intelligent development. Current research focuses more on improving recognition accuracy through optimizing image processing algorithms, but there is limited research on the characteristics of coal gangue materials themselves, particularly the comparative analysis of their appearance in images under different ...
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In the coal preparation process, particle size distribution (PSD) is very important for determining the load of the classification equipment and the separation effects of particles with extensive classes (Liu et al., 2014).
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Laser particle analyzer and image analysis were used to measure the particle size distribution of 6 coal samples with the size range of 1 ∼ 2 mm. Based on obtaining the size distribution, the average diameter was calculated. Then the diffusion coefficient was calculated by using the average diameter obtained by different methods.
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Digital image processing techniques could be used to analyze coal particle size and promise a quick, inexpensive, noncontact solution for the determination of the size distribution in a coal pile.
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Laser particle analyzer and image analysis were used to measure the particle size distribution of 6 coal samples with the size range of 1 ∼ 2 mm. Based on obtaining the size...
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1 August 2009. A new online laser based coal particle size analysis system promises improved coal combustion. Coal particle size analysis is a crucial element in the optimisation of coalfired combustion for power generation, with coal particle size impacting many aspects of the combustion process including: loss of ignition (LOI); coal flow ...
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Comparing with different particle size measurement methods, the dynamic image method has the advantages of wide measurement range and good repeatability of measurement results. ... "Influence of coal particle size on particulate matter emission and its chemical species produced during coal combustion," Fuel Processing Technology, vol. 85 ...
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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