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 ...
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.
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 ...
Measured particle area (A) from image analysis is converted to an equivalent particle diameter (D e, D e = 2 × √ A∕ ), which is then used to calculate sphere volumes and determine their mass ...
To test our object_ script, just issue the following command: python object_ image images/example_ width Your output should look something like the following: Figure 2: Measuring the size of objects in an image using OpenCV, Python, and computer vision + image processing techniques.
Digital image processing techniques could be used to analyze coal particle size and promise a quick, inexpensive, noncontact solution for the determination of the size distribution in a coal pile.
Image processing and image analysis are strongly associated with computer vision . In traditional machine vision systems, each feature must be manually defined and verified by the developer [ 14 ]. On the other hand, deep learning uses selflearning algorithms to automatically identify and extract unique patterns to distinguish between distinct ...
The belt speed was m/s during the shooting, and the line frequency of the camera was set to 2000. The particle size of the coal or gangue was between 50 mm and 350 mm. The gangue is black and has an attached coal slurry. Download : Download highres image (189KB) Download : Download fullsize image; Fig. 6. Image acquisition platform.
As a re sult, it is possible to create online noncontact, fully automated machine vision systems for particle size measurement, which facilitates the evaluation and optimization of particle mining and processing processes. ∗ Corresponding author. Tel.: +; Email address: [email protected] © 2022 The Authors ...
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 ...
The preparation plant will then apply sufficient crushing to control the topsize of the preparation plant feed, followed by screening or classification to separate the coal feed by size for later processing. Coal breakers, crushers and sizers. There are a number of breaking devices commonly used for reducing the topsize of 'runofmine ...
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 ...
Cleat geometry Image processing Coal properties CT scans 1. Introduction Coal cleat networks Coal is characterised by its unique microstructure of a low permeable porous matrix intersected by a network of face and butt cleats. Cleats are natural openingmode fractures within coal beds.
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.
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,
Digital imaging technique provides an accurate measurement of particle size by processing the particle's projected area in the image and counting the digital pixels with a preset of scanning resolution [20, 2326]. The images can be taken either by a scanner or by a scanning electron microscope (Fig. ).
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.
Particle size is an important physicochemical parameter of coal. The accurate measurement of particle size distribution (PSD) of coal samples is significant to both scientific research and engineering, such as coal combustion [15], coal chemical industry [69], adsorption and desorption [1012], and coal and gas outburst [13, 14].
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 ...
Fig. 6 shows the depth image after being visualized in three dimensions; the lighter the color, the higher the height. The average height of the coal and gangue areas in the image was calculated. An initial 3D feature, that is, the height feature, was obtained by dividing the average height of the gangue by the average height of coal.
III. Image Processing Method of System. Image is the information transfer carrier of machine vision measuring system, and the quality of its original information obtained and advantage of image processing algorithm will directly influence the system performance. Therefore, in order to realize highprecision automatic measuring to the workpiece ...
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.
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.
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. •
Besides analyzing the coal, a coal quality manager system should automatically calculate: Heating Value (kcal/kg, kJ/kg or BTU/lb) Lbs SO2 per million BTU. Volatile Matter. Fixed Carbon. Ash Fusion Temperature (based on customer specific empirical relations) Knowing these measurements in realtime enables coal producers to control sorting and ...
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.
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.
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.
Full size image. Fig. 3. ... Using binarization processing and contour fitting, ... are the coal and gangue particles measurement and scanning data files, are the coal and ...
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