1982年8月9日 Coal Processing. The inputs in coal processing are high-value coking coal for pyrometallurgical industries and low-value thermal coal for power generation. From:
خبير الاتصال2019年10月23日 The image processing was used for grain size distribution determination [1, 2], ore classification [3], coal gangue identification [4] and so on. Despite the machine
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خبير الاتصال2023年11月11日 These experiments aimed to simulate the weak and unstable lighting conditions typically encountered in production site scenarios. Six sets of coal gangue
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خبير الاتصال2022年12月5日 Aiming at the problem of low accuracy of coal gangue recognition in fully mechanized caving mining, the extraction method of Coal and gangue images features is
خبير الاتصال2023年6月27日 There are 30704 mine personnel images with 24563 images in training sets and 6141 in validation set, 21017 large coal images with 16813 images in training
خبير الاتصال2021年9月11日 To solve these problems, a preprocessing model for low-quality images of coal and gangue is proposed based on a joint enhancement algorithm in this paper. Firstly, the characteristics of coal
خبير الاتصال2017年1月2日 An image processing workflow to characterise coal cleat networks is introduced. Workflow is based on the distinction of perpendicular face and butt cleats.
خبير الاتصال2015年7月22日 The experiment results showed that the images of coal and gangue can be precisely recognized based on RS-EEM under the influence of long running pollution and similar background grayscale, and the recognition accuracy can reach to 96.15% as well as grasping accuracy to 85% at 0.4 m/s conveyor belt speed. 7. 1 Excerpt.
خبير الاتصال2023年11月30日 obvious color di erence are selected for gray processing. e gray sub-images of coal and gangue obtained under di erent illumination conditions are shown in Fig. 2. e above ve images are grayscale ...
خبير الاتصال2022年12月5日 In the experiment, the images of coal and gangue with the most obvious color difference are selected for gray processing. The gray sub-images of coal and gangue obtained under different ...
خبير الاتصال2023年8月23日 The aim of this paper is to analyze the deformation-failure degree and microstructure variations in coal under the cryogenic-freezing effect of liquid CO2. In this paper, X-ray CT scanning technology is adopted to measure the microscopic-morphological parameters of coal. Drawing support from the image processing and three-dimensional
خبير الاتصال2019年5月8日 Recognizing and distinguishing coal and gangue are essential in engineering, such as in coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize coal and gangue images and help segregate coal and gangue. A typical workflow for CNN image recognition is presented as well as a strategy for
خبير الاتصال2022年5月27日 In coal dry screening, online detection for screening efficiency is a significant challenge. Notwithstanding, the method of image processing is strenuous to implement in this field due to the complex surface texture of shattered coal. This method identifies the fractal phenomenon before and after coal screening is discovered for the
خبير الاتصال2023年6月14日 The embedding of the lightweight ECA module can help GSAGNet focus on the target of coal and gangue in images during the training process. At the same time, it can improve the efficiency and accuracy of coal and gangue classification by adjusting a small number of calculation parameters to filter out more irrelevant information. 4.
خبير الاتصال2023年5月24日 Coal gangue separation is the process of separating coal and gangue that are mixed together during coal mining. The presence of gangue can significantly affect the combustion of coal, reduce its calorific value, and emit harmful gases, causing environmental pollution [11, 20, 22]To achieve high-quality coal gangue separation,
خبير الاتصال2023年2月7日 It is suggested that the characterization processing in this study is suitable for coal or other organic-rich porous materials with porosity >2% and pore radius >15 nm.
خبير الاتصال2022年6月15日 The images of coal and gangue collected in this study are from Mengziyu Coal Mine, Shanxi Province. The particle size distribution of coal and gangue is approximately 5–500 mm. The thickness distribution is approximately 10–150 mm. ... The process in which the pixel area threshold 50 filters the concave defect area is shown in
خبير الاتصال2017年12月10日 The above is an exploration of coal-rock recognition based on images, rays, and acoustic signals, but many external factors such as noisy environment and dark light in the process of coal caving ...
خبير الاتصال2022年4月13日 Coal rocks often contain calcite, which has a significant effect on the mechanical properties of coal and the energy evolution during rupture damage. In this study, the meso-scale of rock is considered, and
خبير الاتصال2021年10月18日 Using infrared detection technology to establish a coal gangue recognition model, coal gangue sorting can be achieved based on the difference in infrared images between coal and gangue.
خبير الاتصال2021年12月4日 Coal gangue, a type of solid waste from coal extraction and processing operations, is typically left on the surface due to its low amount of usable resources (Gao et al. 2021; Xie et al. 2021 ...
خبير الاتصال2022年9月1日 Considering that fine-grained characteristic is widely existed in industrial object images, we proposed a single-shot fine-grained object detector, and applied it to coal–gangue images in coal ...
خبير الاتصال2021年5月27日 To process the coal images on a belt, a multiscale image segmentation algorithm based on the Hessian matrix was adopted (Zhang and Yang 2015 ). First, the contrast limited adaptive
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خبير الاتصال2023年6月14日 The embedding of the lightweight ECA module can help GSAGNet focus on the target of coal and gangue in images during the training process. At the same time, it can improve the efficiency and accuracy of coal and gangue classification by adjusting a small number of calculation parameters to filter out more irrelevant information. 4.
خبير الاتصال2022年7月22日 Among them, the traditional image processing-based method is more commonly applied to the distinction between coal and coal gangue, which mainly uses the differences of targets in color, texture ...
خبير الاتصال2021年11月12日 Li et al. [22] investigated the effects of illuminance and external moisture on grayscale and texture features of coal and gangue images, which provided an essential guide for the image-based ...
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