مصنع لتجهيز البوكسيت/coal piece size measurement image processing
Machine vision technology [12,13] is widely used in coal gangue image processing [14], target region segmentation [15], and other fields for its economic, efficient, safe, and reliable ...
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 ...
Cartoon coal ore, black charcoal, graphite lump, rock stone isolated vector set. Fossil or mineral resources piles, bunch and cut pieces, ui or gui game asset, mining production, quarry or mine items. Five pieces of charcoal on a white background. Five pieces of charcoal on a white background with copy space.
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 ...
Size distribution measurement of coal fragments using digital imaging processing Xiaohan Yang a b, Ting Ren a b, Lihai Tan a Add to Mendeley https://// Get rights and content • Accurate and fast measurement of coal fragments generated by uniaxial compression tests using digital imaging processing. •
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 ...
In this paper, we aim at demonstrating the feasibility of measurement of coal fragments size distribution by using imaging processing technic. The image analysis is achieved by application of MATLAB. The image acquisition and analysis procedures are described in Section 2. In Section 3, the statistical size distribution of coal fragments ...
Respirable coal mine dust represents a serious health hazard for miners. Monitoring methods are needed that enable fractionation of dust into its primary components, and that do so in real time. Near the production face, a simple capability to monitor the coal versus mineral dust fractions would be highly valuable for tracking changes in dust sources—and supporting timely responses in terms ...
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 ...
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 ...
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 ...
Table 1 lists the physical parameters of the pulverized coal and air which are required for numerical calculation (The temperature is set as 71 °C which is just consistent with that of pipe flow during inline experiments). In this calculation, the range of the pulverized coal size is 1200 μm, and the volume fraction is from % to 1%. Therefore, ultrasonic frequencies of 40 kHz and 200 ...
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.
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.
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.
An improved mass model with only two parameters for coarse coal particles using image analysis was established. ... and morphology have been analyzed qualitatively (Zhang et al., 2012a). With continued research on particles, particle size measurements based on quantitative methods have been proposed, and the shape, size and surface structure of ...
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 ...
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,
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...
The pore structure parameters of coal have an important influence on the exploration and development of coalbed methane. In this study, a series of pore structure parameters, including porosity, pore radius, pore throat radius, pore coordination number, pore throat ratio, and specific surface area, are identified, extracted, and calculated in the scanning electron microscopy (SEM) images of ...
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 matching is an important topic in image processing. Matching technology plays an important role in and is the basis for image understanding. In order to solve the shortcomings of slow image matching and low matching accuracy, a matching method based on improved genetic algorithm is proposed. The main improvement of the algorithm is the use of selfidentifying crossover operators for ...
Abstract nearest neighbour algorithm, and convex shell method to achieve preliminary segmentation, merge small pieces with large pieces, and split adhered particles, respectively. Comparing the automated segmentation using this method with manual segmentation, it is found that the results are comparable.
Meas. Sci. Technol. 20 (2009) 114006 HWanget al Nomenclature A matrix relating the 3D temperature in the furnace and temperature image a, b, c coefficients in the polynomial functions for calibration (/)B matrix used to reconstruct the 3D temperature distribution D matrix for regularization e relative difference (%) I spectral radiation intensity (W m −2 μm 1) R, G red and green data of ...
Traditional grain size determination in materials characterization involves microscopy images and a laborious process requiring significant manual input and human expertise. In recent years, the development of computer vision (CV) has provided an alternative approach to microstructural characterization with preliminary implementations greatly simplifying the grain size determination process ...
Size distribution measurement of coal fragments using digital imaging processing Xiaohan Yang University of Wollongong, xy987 ... Kumara et al. adopted image processing to measure the size of gravel and got the gradation curve by ellipse shape assumption [10]. The size range of selected gravel in his research was 020 mm.
Coal is a black or brownishblack sedimentary rock that can be burned for fuel and used to generate is composed mostly of carbon and hydrocarbons, which contain energy that can be released through combustion (burning). Coal is the largest source of energy for generating electricity in the world, and the most abundant fossil fuel in the United States.
The pore wall thickness measurement by image analysis provided significant correlations with M 40, CRI and CSR values. This explains the usability of image analysis for coke structure measurement. A comparative study was carried out for measurement by volumetric method, image analysis, mercury porosimetry and Xray CT scan measurements.
The stability of a pulverized coal flame has been measured continuously and quantitatively based on the digital imaging and image processing techniques. Results obtained on a 600 MWth coalfired supercritical unit have demonstrated that, in a routine boiler "turning off" process, the flame stability is well characterized using the numerical ...