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 ...
To improve measuring efficiency, some studies attempted to measure PSD by image processing methods [6]. The corresponding challenges of such methods are clearly specified as below: ... This automated image segmentation method provides a new approach for rapidly analysing the size distribution of coal particles with size fractions defined ...
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 ...
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 ...
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 ...
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.
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 ...
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...
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 ...
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.
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.
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
... 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...
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 ...
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 ...
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.
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,
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 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 ...
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 ...
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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