2022
DOI: 10.1080/15567036.2022.2119309
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Recognition of coal and gangue based on multi-dimensional gray gradient feature fusion

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Cited by 9 publications
(3 citation statements)
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References 36 publications
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“…A gray level gradient co-occurrence matrix (ggCM) is a combination of the gray level of the image and gradient information (Hong 1984;Luo et al 2022). The image gray level value can describe the specific content of the image, and the image gradient value can provide image contour edge information.…”
Section: Gray Gradient Co-occurrence Matrixmentioning
confidence: 99%
See 1 more Smart Citation
“…A gray level gradient co-occurrence matrix (ggCM) is a combination of the gray level of the image and gradient information (Hong 1984;Luo et al 2022). The image gray level value can describe the specific content of the image, and the image gradient value can provide image contour edge information.…”
Section: Gray Gradient Co-occurrence Matrixmentioning
confidence: 99%
“…In this paper, L gt = 16 (Luo et al 2022), g(i, j) is obtained by the average sum of the gradient method of the Sobel operator in horizontal and vertical directions, as shown in the equation:…”
Section: Gray Gradient Co-occurrence Matrixmentioning
confidence: 99%
“…24, 2022, International Energy Agency (IEA) addressed today's urgent energy security challenges and also reported that global demand for coal will hit a record high in the next two years, which highlights the importance of improving the utilization of coal [1]. However, coal and gangue separation is an important component to improve the utilization efficiency of coal in coal production [2][3]. Currently, the dual-energy X-ray coal and gangue separation technology integrates X-ray imaging, pneumatic removal, and big data processing to identify coal and gangue, and achieve efficient and…”
mentioning
confidence: 99%