DOI: / Corpus ID: ; Estimation of coal particle size distribution by image segmentation article{Zhang2012EstimationOC, title={Estimation of coal particle size distribution by image segmentation}, author={Zelin Zhang and Jianguo Yang and Lihua Ding and Yuemin Zhao}, journal={International journal of mining science and technology}, year={2012}, volume={22 ...
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].
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,
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 ...
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 ...
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 ...
The measurement accuracy of the particle size of coal determined by using he image acquisition and analysis system described in Section was verified by randomly selecting five particles in each size interval and measuring their sizes by the method outlined in Fig. 8. Furthermore, the lengths and widths of the particles were measured ...
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.
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 ...
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 ...
Coal analyzer. Coal analyzers are bulk material analyzers used by coal producers, coal preparation plants, and coalfired power plants to determine coal quality in real time. Coal quality parameters of greatest interest include ash, moisture, sulfur, and energy density (also known as heat content ). Although most coal operations can obtain this ...
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 ...
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 ...
Take the Xray image of coal sample. 2. Convert the image to gray scale image. 3. Plot the histogram equalization graph of image and display the image 4. Find out the appropriate thresholding level from graph. 5. Count the number of white and black pixels from thresholded image . 6. Calculate the ratio of white Vs black. 3. RESULTS :
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.
Measurement of temperatures is essential for the development of combustion theory and technology [1]. Digital imaging and image processing techniques have shown the ability to obtain information from flames for quantitative characterization and monitoring [24]. Lu and coworkers [5, 6] reconstructed
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 ...
Imagebased soil particle size and shape characterization methods have witnessed great progress in duplicating traditional sieving and manual methods for shape measurement.
Image Analysis for Particle Size Distribution CC BY Authors: C. Shanthi R. Kingsley Porpatham N. Pappa Anna University, Chennai Abstract Particle size distribution (PSD) affects...
... Yang et al. [19] suggested applying an image processing technique to measure coal pieces produced by uniaxial compression tests. The image processing method based on the MATLAB...
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.
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 ...
, 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. •
100% 8 mm 10% 3 mm 90% 8 mm ... Another method used to determine the degree of moisture in a material is image processing. The literature presents applications of vision methods to assess the...
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 ...
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 ...
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 ...
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.
Against this backdrop, in this study, a spatial image reconstruction method (SIRM) was proposed to analyze the size distribution of coal particles. The particle sizes were characterized by the minimum external cuboid method in conjunction with the equivalent diameter. The accuracy of the measurements were discussed and analyzed relative to the ...
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,
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.
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 ...
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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