Image segmentation method for coal particle size ... ResearchGate
... Traditionally, the particle size distribution of coke was measured by combining methods of manual detection and mechanical vibration.
coal size measurement image processing
Quantitative evaluation of the influence of coal particle size ...
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 ...
Demonstration of Optical Microscopy and Image Processing to ... MDPI
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 ...
Radiation characteristics of natural gammaray from coal and gangue for ...
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 ...
Quantitative evaluation of the influence of coal particle size ...
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...
Twodimensional SEM imagebased analysis of coal porosity ... Springer
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 ...
An improved estimation of coal particle mass using image analysis
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.
Performance evaluation of a deep learning based wet coal image ...
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 ...
Cleatscale characterisation of coal: An overview ScienceDirect
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.
Multiinformation online detection of coal quality based on machine ...
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 ...
Size distribution measurement of coal fragments using digital imaging ...
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 ...
Characterisation of the combustion behaviours of ... ResearchGate
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 ...
(PDF) Effect and correction of segregation error in coal size ...
Imagebased soil particle size and shape characterization methods have witnessed great progress in duplicating traditional sieving and manual methods for shape measurement.
A Mask RCNN based particle identification for quantitative shape ...
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.
(PDF) Particle Size Distribution Analysis of Ground Coal By Machine ...
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 ...
Quantitative evaluation of the influence of coal particle size ...
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.
(PDF) Blast Fragmentation Analysis using Image Processing ResearchGate
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 ...
Evaluation of coal screening performance by spatial image ...
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 ...
Determination of surface moisture and particle size distribution of ...
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...
A Novel Coal Mine Dust Measurement System and Experimental ... Springer
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 ...
Image processing based characterisation of coal cleat networks
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) ...
Safety Warning of Mine Conveyor Belt Based on Binocular Vision MDPI
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 ...
An Online Detection Method for Coal Dry Screening Based on Image ... MDPI
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 ...
Estimation of coal particle size distribution by image segmentation ...
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 ...
PAPER OPEN ACCESS Effect and correction of segregation error in coal ...
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.
Size distribution measurement of coal fragments using ... ScienceDirect
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.
Particle overlapping error correction for coal size distribution ...
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 ...
Analysis of Xray Images of Coal Using Image Processing Ijser
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 :
(PDF) Detection of coal content in gangue via image analysis and ...
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 ...
Multiscale coal and gangue dualenergy Xray image concave point ...
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.
An image segmentation method of pulverized coal for particle size ...
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].
University of Wollongong Research Online
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
Size distribution measurement of coal fragments using ... ScienceDirect
MATLAB Brittle Failure 1. Introduction Coal fragmentation is a common physical and mechanical phenomenon exists in the brittle failure of coal subject to static, impact and dynamic loads, during which coal fragments with difference size can be generated.
Image Analysis for Particle Size Distribution ResearchGate
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...
Coal analyzer Wikipedia
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 ...
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