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Bolt loosening angle detection method based on color segmentation
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Jingjie KANG, Lijun ZHANG, Yuandong SUN, Xiaoyu YANG, Ruolan WANG, Tianhao ZHAO
Journal of Mechanical Strength | 2025, 47(5) : 102 - 109
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Journal of Mechanical Strength | 2025, 47(5): 102-109
• Experimental Research·Testing Technology •
Bolt loosening angle detection method based on color segmentation
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Jingjie KANG, Lijun ZHANG, Yuandong SUN, Xiaoyu YANG, Ruolan WANG, Tianhao ZHAO
Affiliations
  • Ningbo Branch of China Academy of Ordnance Science, Ningbo 315103, China
Published: 2025-05-15 doi: 10.16579/j.issn.1001.9669.2025.05.012
Outline
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To achieve quantitative detection of bolt loosening angles through single frame images, a method based on color segmentation and connected domain feature processing was designed. Firstly, a method for performing nonlinear stretching, normalization and optimal threshold segmentation on a component successively in the Lab color space was designed to segment and represent the red anti-loosening line image of the bolt loosening angle. Secondly, the morphological operations were performed on the image by using the open operation. Then, the orientation vector of the connected domain in the anti-loose line image was determined by computing the geometric moments. Finally, the bolt loosening angle was determined through the four-quadrant arctangent function. The results demonstrate that the precise measurement of the bolt loosening angle through a single frame image can be achieved by this detection algorithm, with a maximal relative error of 1.80%, its accuracy meets the needs of engineering practice and has strong engineering application value.

Bolt loosening  /  Angle detection  /  Color segmentation  /  Connected domain feature  /  Geometric moment  /  Vector calculation
Jingjie KANG, Lijun ZHANG, Yuandong SUN, Xiaoyu YANG, Ruolan WANG, Tianhao ZHAO. Bolt loosening angle detection method based on color segmentation[J]. Journal of Mechanical Strength, 2025 , 47 (5) : 102 -109 . DOI: 10.16579/j.issn.1001.9669.2025.05.012
Funding
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  • Ningbo Natural Science Foundation(202003N4342)
Appendix
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Year 2025 volume 47 Issue 5
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Article Info
doi: 10.16579/j.issn.1001.9669.2025.05.012
  • Receive Date：2023-10-18
  • Online Date：2026-03-19
  • Published：2025-05-15
Article Data
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History
  • Received：2023-10-18
  • Revised：2023-11-15
Funding
Ningbo Natural Science Foundation(202003N4342)
Affiliations
    Ningbo Branch of China Academy of Ordnance Science, Ningbo 315103, China

Corresponding:

KANG Jingjie, E-mail：
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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