To estimate the density and sulfur content level of highsulfur coal, a novel approach based on image processing and the support vector machine optimized by Grey wolf optimization (GWOSVM) was ...
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Image processing technology cannot determine the actual size of overlapped particles and cannot confirm the size fractions of overlapped particles, making the larger particles appear smaller in size by image analysis. ... Hence, fifty coal pile images were acquired to measure the size fractions of coal particles after overlapping. Table 1. Mass ...
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imagebased size distribution estimation of coal piles on a conveyor. 1. Introduction Rock size affects the productivity of mining and mineral processing from the initial phase of drilling and blasting to crushing and grinding et al [17]. Conveyor is the most common means of transportation.
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Most of mineral processing operations depend on the size distribution measurements which is a key factor improving process efficiencies. As the same in the coal preparation plants, many separating processes and equipments depend on the particle size distribution of raw coal, which directly influences the separation efficiency.
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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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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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Two hundred images of coal piles comprised of coal sized above 3 mm were captured. Over 100 kg of coal were sampled and sieved manually into five size fractions: 36, 613, 1325, 2550, and 50100 mm. The size of the image was 1024 × 768 pixels and the imaged area was 18 × cm.
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Therefore, if a pellet size issue occurs during operation, it cannot be addressed quickly. This paper presents a method for frequent, realtime carbon black PSD measurement through image processing. The processes for pellet imaging, image processing, PSD calculation, and original image processing correction are introduced in detail.
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Results could further the concept of a "cell phone microscope" type monitor for semicontinuous measurements in coal mines. ... [28,29], determination of cell size and morphology of ... Cigdem Keles, J. R. Saylor, and Emily Sarver. 2021. "Demonstration of Optical Microscopy and Image Processing to Classify Respirable Coal Mine Dust ...
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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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The acoustic and resistivity measurements of coal rock samples taken from the southern Qinshui Basin in China were measured under dry and saturated conditions of different salinity solutions. ... Full size image. Fig. 3. Complete waveform and spectrum analysis of QS2 dry coal rock ... According to the analysis of acoustic wave image processing ...
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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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The work presents image processing based automated system to measure grain size. • The work is edge oriented and can segment grains of different contrast. • The proposed methodology generates closed contour of the grain boundaries. • The outcome of the proposed methodology is comparable to commonly used methods.
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Experimental results show that the combined high speed imaging and image processing technique has provided an effective means for measuring and quantifying the characteristics of single coal ...
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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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Traditional coalgangue recognition methods usually do not consider the impact of equipment noise, which severely limits its adaptability and recognition accuracy. This paper mainly studies the ...
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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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The Split imageprocessing system is now being used to assess fragmentation size using muck pile digital imaging taken on a daily basis and an online fragmentation analysis system installed at the ...
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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 application of image processing to coal ore processing has to date focused on either the determination of particle size in runofmine coal 1 [7] or the classification of coal components after ...
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The particle size distribution of coal and gangue is approximately 5500 mm. The thickness distribution is approximately 10150 mm. ... According to Fig. 3, the specific image processing process is elucidated below: (a) ... An image segmentation algorithm for measurement of flotation froth bubble size distributions.
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Yang et al. introduced a procedure to measure the size distribution of coal fragments using digital image processing [8] by analyzing still images of coal, and the obtained results were closer to the experimental results than those obtained by the size estimation method known as the fractal model.
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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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This paper focuses on the size distribution measurement of coal fragments by digital imaging processing. The fast and precise measurement of coal fragments, which is important to understand the crack propagation and energy dissipation process of coal failure, has not been achieved by previous research. In this paper, an image analysis method using MATLAB is proposed to measure fragment size ...
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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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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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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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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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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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Image Binarization . To extract and obtain the pore information and distribution in the image, we first binarized the SEM images of the coal sample and transformed them into a binary image,
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To improve measuring efficiency, some studies attempted to measure PSD by image processing methods [6]. The corresponding challenges of such methods are clearly specified as below: ... This automated image segmentation method provides a new approach for rapidly analysing the size distribution of coal particles with size fractions defined ...
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Currently, there is little research on realtime monitoring methods for coal dry screening. Liao [] developed a new online automatic optical inspection system (OAOIS) applying digital image processing to measure the coarse particle size [] demonstrated the inconsistencies of lengthbased separation by mechanical sieving using standard sieves and developed a user ...
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Large foreign object transporting by coal mine conveyor belt may lead to production safety hazards. To reduce safety accidents during coal mining, a large foreign object detection method based on machine vision is proposed in this paper. An adaptive weighted multiscale Retinex (MSR) image enhancement algorithm is proposed to improve the captured image quality of the belt conveyor line. An ...
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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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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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