Home Journals Articles Updates About
CN
image
收藏切换
Practical Method for Identifying Morphological Information of Recycled Coarse Aggregate Bulk Based on Watershed Algorithm
收藏切换
Ziqing YANG1, 2, 3, Jian YANG1, 2, 3, Wuyue XIONG1, 2, 3
Journal of the Chinese Ceramic Society | 2021, 49(8) : 1691 - 1698
Less
收藏切换
Journal of the Chinese Ceramic Society | 2021, 49(8): 1691-1698
• Research Article •
Practical Method for Identifying Morphological Information of Recycled Coarse Aggregate Bulk Based on Watershed Algorithm
Full
Ziqing YANG1, 2, 3, Jian YANG1, 2, 3, Wuyue XIONG1, 2, 3
Affiliations
  • 1.School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2.State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 3.Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai 200240, China

    • YANG Ziqing (1996-), female, Master candidate. E-mail:

About Author:

YANG Ziqing (1996-), female, Master candidate. E-mail:

Published: 2021-08-20 doi: 10.14062/j.issn.0454-5648.20200981
Outline
收藏切换

In order to achieve particle segmentation and extract morphological information from the images of brick-containing recycled coarse aggregate bulk in the stacked state, an image-based method was proposed. Based on the differences in hue and distance between particles of the recycled concrete and crushed brick aggregate, the model was incorporated into the threshold segmentation and distance transformation, thus optimizing the watershed segmentation algorithm. It is indicated that the optimized segmentation algorithm could be used to effectively extract the contours of individual aggregate particles and calculate their morphological information, such as aggregate gradation, proportion of each aggregate, flakiness ratio and sphericity.

concrete  /  recycled coarse aggregate  /  digital image technology  /  image segmentation  /  morphological characteristics
杨子晴, 杨健, 熊吴越. 基于改进分水岭算法的堆积态再生混合粗骨料图像分析. 硅酸盐学报, 2021 , 49 (8) : 1691 -1698 . DOI: 10.14062/j.issn.0454-5648.20200981
Ziqing YANG, Jian YANG, Wuyue XIONG. Practical Method for Identifying Morphological Information of Recycled Coarse Aggregate Bulk Based on Watershed Algorithm[J]. Journal of the Chinese Ceramic Society, 2021 , 49 (8) : 1691 -1698 . DOI: 10.14062/j.issn.0454-5648.20200981
Appendix
Less
Year 2021 volume 49 Issue 8
26
3
Cite this Article
BibTeX
Article Info
doi: 10.14062/j.issn.0454-5648.20200981
  • Receive Date：2020-10-21
  • Online Date：2026-10-30
  • Published：2021-08-20
Article Data
Affiliations
History
  • Received：2020-10-21
  • Revised：2020-12-14
Funding
Affiliations
    1.School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2.State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    3.Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai 200240, China

Corresponding:

YANG Jian (1974-), male, Professor. E-mail:
References
Share
https://castjournals.cast.org.cn/joweb/gsyxb/EN/10.14062/j.issn.0454-5648.20200981
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House