A rapid analysis method for needle-shaped and flake particles of pea gravel based on image processing

Chang Yong; Liu Ziqian; Liu Haitao; Yang Jun; Li Jianjian; Feng Qiang; Wang Hongbo

doi:10.20265/j.cnki.issn.1007-2993.2024-0510

Volume 39 Issue 6

Dec. 2025

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Article Navigation > GEOTECHNICAL ENGINEERING TECHNIQUE > 2025 > 39(6): 816-822

Chang Yong, Liu Ziqian, Liu Haitao, Yang Jun, Li Jianjian, Feng Qiang, Wang Hongbo. A rapid analysis method for needle-shaped and flake particles of pea gravel based on image processing[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2025, 39(6): 816-822. doi: 10.20265/j.cnki.issn.1007-2993.2024-0510

Citation:

Chang Yong, Liu Ziqian, Liu Haitao, Yang Jun, Li Jianjian, Feng Qiang, Wang Hongbo. A rapid analysis method for needle-shaped and flake particles of pea gravel based on image processing[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2025, 39(6): 816-822. doi: 10.20265/j.cnki.issn.1007-2993.2024-0510

Citation:

Chang Yong, Liu Ziqian, Liu Haitao, Yang Jun, Li Jianjian, Feng Qiang, Wang Hongbo. A rapid analysis method for needle-shaped and flake particles of pea gravel based on image processing[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2025, 39(6): 816-822. doi: 10.20265/j.cnki.issn.1007-2993.2024-0510

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A rapid analysis method for needle-shaped and flake particles of pea gravel based on image processing

doi: 10.20265/j.cnki.issn.1007-2993.2024-0510

Chang Yong^{1, 2
,},
Liu Ziqian^1
,,
Liu Haitao²,
Yang Jun²,
Li Jianjian²,
Feng Qiang¹,
Wang Hongbo^{1
,
,}

1.
College of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
2.
The Fifth Engineering Co., Ltd. of China Railway First Engineering Group, Baoji 721013, Shaanxi, China

Received Date: 2024-11-04
Accepted Date: 2025-04-14
Rev Recd Date: 2025-04-11

Available Online: 2025-12-08

Publish Date: 2025-12-08

Abstract

Abstract

Image processing technology allows for the determination of needle-shaped and flake particle content in pea gravel. However, when collecting the thickness information of pea gravel, the traditional collection method can only collect the pea gravel placed on the plane line by line many times. Aimed at the problem of low detection efficiency and unable to evaluate it quickly caused by the inconvenience of this acquisition method, a stepped placement strategy was designed, which took two photos from different angles, combined with IPP software (Image Pro Plus), to efficiently obtain the key size information of the gravel, and eliminate the error caused by the different distance between the gravel and the camera through the correction coefficient. The needle and flake content of pea gravel particles was measured by image processing software and compared with the traditional vernier caliper method. The results show that: (1) The step layout design can quickly obtain the size information of pea gravel, and after the coefficient correction, the information is more authentic and effective, which improves the overall detection efficiency; (2) The error of needle flake particle content obtained by IPP software is controlled within the allowable range.
- engineering material,
- needle and flake particle content,
- experimental research,
- pea gravel,
- digital image analysis

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References(18)

References

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A rapid analysis method for needle-shaped and flake particles of pea gravel based on image processing

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