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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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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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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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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The particle sizes of coal and gangue are all distributed in the range of 13150 mm. To study the difference between coal and gangue with different particle sizes, coal and gangue are divided into two types according to their grain sizes, one is 1325 mm, and the other is 25150 mm. Some images are shown in figure 2.
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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
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Fast image processing method for coal particle cluster box dimension measurement and its application in diffusion coefficient testing ... approximately 50 g coal samples with a particle size of 12 mm from the Shunhe Coal Mine were used for the desorption experiment by the particle method under an adsorption pressure of MPa. Fig. 1 shows ...
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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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In the coal preparation process, evaluation of the screening performance involves the measurement of particle size distribution of products, which has traditionally been carried out using a manual screening method (SM), a relatively timeconsuming process that does not provide timely feedback for adjusting operational parameters.
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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 ...
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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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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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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 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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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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Abstract. Image analysis was adopted to estimate the ash content of clean coal, which contains approximately 3% ash. Seven features were identified based on the gray histogram of coal pictures ...
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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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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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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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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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DOI: / Corpus ID: ; Size distribution measurement of coal fragments using digital imaging processing article{Yang2020SizeDM, title={Size distribution measurement of coal fragments using digital imaging processing}, author={Xiaohan Yang and Tingxiang Ren and Lihai Tan}, journal={Measurement}, year={2020}, volume={160}, pages={107867}, url={https://api ...
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In the realtime measurement, LiXiu et al. designed a coal dust particle size monitoring system by using CCD image sensor, where the device includes two parts: the image acquisition of the lower computer and the image analysis of the PC, the system involves DSP image processing, and the signal processing circuit is more complicated in 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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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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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 ...
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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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To ensure the accuracy and realtime performance of coal flow measurement, Yang et al. ... Download fullsize image; Fig. 4. Sample pictures of coal and gangue. ... Prediction of density and sulfur content level of highsulfur coal based on image processing. Powder Technol., 407 (2022), p.
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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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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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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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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 :
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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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