Image detection technology for paving uniformity of cement stabilized macadam

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Jun.2025, Vol.48 No.6: 858-864

DOI: 10.3969/j.issn.1003-5060.2025.06.023

Authors

ZHU Jiajian $ ^{1} $, CHEN Yanxin $ ^{2} $, RONG Xin $ ^{2} $, LIU Honghai $ ^{2} $, QI Jinlin $ ^{1} $

(1. Gansu Road and Bridge Third Highway Engineering Co., Ltd., Lanzhou 730030, China; 2. Key Laboratory of Road Construction Technology and Equipment of Ministry of Education, Chang'an University, Xi'an 710064, China)

Abstract and Keywords

Abstract: In response to the fact that the uniformity detection of cement stabilized base paving construction mainly relies on manual visual inspection, which has problems such as low detection accuracy and subjective results, image processing technology is used for paving uniformity detection. A deep learning based image segmentation method for cement stabilized macadam particles is established, which separates the various grades of aggregates in the image and combines the quadrilateral static moment theory to detect the uniformity of coarse aggregate paving construction in the image. The detection results indicate that this method can effectively segment the image of cement stabilized macadam base paving, objectively detect the uniformity of aggregate distribution based on image data, and provide a basis for evaluating the uniformity of cement stabilized base paving construction.

Keywords: cement stabilized macadam; image segmentation; quadrilateral static moment theory; uniformity detection

作者信息

朱家剑 $ ^{1} $，陈炎鑫 $ ^{2} $，荣鑫 $ ^{2} $，刘洪海 $ ^{2} $，祁金林 $ ^{1} $

(1. 甘肃路桥第三公路工程有限责任公司，甘肃兰州 730030；2. 长安大学道路施工技术与装备教育部重点实验室，陕西西安 710064)

摘要和关键词

摘要: 针对水泥稳定基层摊铺施工均匀性检测主要依靠人工目测判别,存在检测精度低和判断结果主观等问题,文章采用图像处理技术进行摊铺均匀性检测,建立基于深度学习的水泥稳定碎石颗粒图像分割方法,将图像中各档集料分离,结合四边静矩理论检测图像中的粗集料摊铺施工均匀性。检测结果表明:该方法能有效地分割水泥稳定碎石基层摊铺图像,依据图像数据客观地检测集料分布的均匀性状况,为水泥稳定基层摊铺施工均匀性评价提供依据。

关键词: 水泥稳定碎石；图像分割；四边静矩理论；均匀性检测

Funding

陕西省自然科学基础研究计划资助项目（2022JQ-527）；甘肃省交通科技资助项目（2022-05）

合肥工业大学学报(自然科学版)

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