{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T22:14:51Z","timestamp":1776377691883,"version":"3.51.2"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,4,29]],"date-time":"2023-04-29T00:00:00Z","timestamp":1682726400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,4,29]],"date-time":"2023-04-29T00:00:00Z","timestamp":1682726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1007\/s00371-023-02868-0","type":"journal-article","created":{"date-parts":[[2023,4,29]],"date-time":"2023-04-29T09:02:16Z","timestamp":1682758936000},"page":"1553-1564","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Concrete surface roughness measurement method based on edge detection"],"prefix":"10.1007","volume":"40","author":[{"given":"Jiajun","family":"Ma","sequence":"first","affiliation":[]},{"given":"Teng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Guangjie","family":"Li","sequence":"additional","affiliation":[]},{"given":"Qiang","family":"Zhan","sequence":"additional","affiliation":[]},{"given":"Dandan","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yuanpei","family":"Chang","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jiancun","family":"Zuo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,29]]},"reference":[{"issue":"2","key":"2868_CR1","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1111\/mice.12605","volume":"36","author":"A Valikhani","year":"2020","unstructured":"Valikhani, A., Jaberi Jahromi, A., Pouyanfar, S., Mantawy, I., Azizinamini, A.: Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras. Comput.-Aid. Civ. Infrastruct. Eng. 36(2), 213\u2013226 (2020)","journal-title":"Comput.-Aid. Civ. Infrastruct. Eng."},{"issue":"09","key":"2868_CR2","first-page":"30","volume":"42","author":"Hu Shuting","year":"2020","unstructured":"Shuting, Hu., Huang Fangcheng, Hu., Kangjun, X.J., Weiliang, J.: The detection method of three-dimensional roughness of on-site concrete based on 3D scanning technology. Cryogenic Build. Technol. 42(09), 30\u201333 (2020)","journal-title":"Cryogenic Build. Technol."},{"issue":"1","key":"2868_CR3","first-page":"25","volume":"2010","author":"Y Guoxin","year":"2010","unstructured":"Guoxin, Y., Xiaolei, Z., Leishun, Z.: Evaluation method review of the interfacial roughness of new to old concrete. Concrete 2010(1), 25\u201329 (2010)","journal-title":"Concrete"},{"key":"2868_CR4","doi-asserted-by":"publisher","first-page":"912","DOI":"10.1016\/j.conbuildmat.2012.09.045","volume":"38","author":"MDS Pedro","year":"2013","unstructured":"Pedro, M.D.S., Eduardo, N.B.S.: A state-of-the-art review on roughness quantification methods for concrete surfaces. Constr. Build. Mater. 38, 912\u2013923 (2013)","journal-title":"Constr. Build. Mater."},{"issue":"10","key":"2868_CR5","first-page":"210","volume":"2018","author":"C Yi","year":"2018","unstructured":"Yi, C., Wuyin, J.: The sufrace roughness detection based on digital image processing. Mach. Design Manuf. 2018(10), 210\u2013216 (2018)","journal-title":"Mach. Design Manuf."},{"key":"2868_CR6","first-page":"1","volume":"2021","author":"C Zhixiang","year":"2021","unstructured":"Zhixiang, C., Fumin, L., Yuyu, F., Jie, Z.: Study on dependencies among evaluation indexes for concrete surface roughness. J. Build. Struct. 2021, 1\u20137 (2021)","journal-title":"J. Build. Struct."},{"issue":"07","key":"2868_CR7","first-page":"57","volume":"55","author":"G Lei","year":"2022","unstructured":"Lei, G., Hongying, Ma., Zhenzhong, S.: Relationship between characteristics parameters of concrete rough surface morphology and joint roughness coefficient. Chin. Civil Eng. J. 55(07), 57\u201365 (2022)","journal-title":"Chin. Civil Eng. J."},{"issue":"1","key":"2868_CR8","doi-asserted-by":"publisher","first-page":"158","DOI":"10.3390\/ma14010158","volume":"14","author":"B \u00d6zcan","year":"2020","unstructured":"\u00d6zcan, B., Schwermann, R., Blankenbach, J.: A novel camera-based measurement system for roughness determination of concrete surfaces. Materials 14(1), 158 (2020)","journal-title":"Materials"},{"issue":"2","key":"2868_CR9","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1520\/JTE20180761","volume":"49","author":"M Riad","year":"2019","unstructured":"Riad, M., Yazdani, N., Gonzalez, E., Sapkota, K.: Quantitative non-destructive evaluation of frp laminate-concrete bond strength using ultrasound tomography. J Test Eval 49(2), 1119\u20131140 (2019)","journal-title":"J Test Eval"},{"key":"2868_CR10","doi-asserted-by":"publisher","first-page":"129644","DOI":"10.1016\/j.conbuildmat.2022.129644","volume":"361","author":"CJ Hawley","year":"2022","unstructured":"Hawley, C.J., Gr\u00e4be, P.J.: Water leakage mapping in concrete railway tunnels using LiDAR generated point clouds. Constr. Build. Mater. 361, 129644 (2022)","journal-title":"Constr. Build. Mater."},{"issue":"01","key":"2868_CR11","first-page":"111","volume":"36","author":"Z Boyu","year":"2020","unstructured":"Boyu, Z., Qiping, S., Yong, Z., Lijuan, Z.: Study on roughness qualification for joint surfaces of precast concrete components: a 3D-laser-scan-based approach. Constr. Sci. 36(01), 111\u2013116 (2020)","journal-title":"Constr. Sci."},{"key":"2868_CR12","first-page":"205","volume":"2019","author":"S Ghosh","year":"2019","unstructured":"Ghosh, S., Chaudhury, K.N.: Fast bright-pass bilateral filtering for low-light enhancement. IEEE Int. Conf. Image Process. 2019, 205\u2013209 (2019)","journal-title":"IEEE Int. Conf. Image Process."},{"issue":"10","key":"2868_CR13","doi-asserted-by":"publisher","first-page":"1555","DOI":"10.1109\/LSP.2018.2866949","volume":"25","author":"S Ghosh","year":"2018","unstructured":"Ghosh, S., Nair, P., Chaudhury, K.N.: Optimized fourier bilateral filtering. IEEE Signal Process. Lett. 25(10), 1555\u20131559 (2018)","journal-title":"IEEE Signal Process. Lett."},{"issue":"02","key":"2868_CR14","first-page":"191","volume":"36","author":"L Zhicheng","year":"2016","unstructured":"Zhicheng, L., Dianwei, W., Yin, L., Xuejie, L.: Adaptive adjustment alogrithm for non-uniform illumination images based on 2D gamma function. J. Beijing Univ. Technol. 36(02), 191\u2013196 (2016)","journal-title":"J. Beijing Univ. Technol."},{"key":"2868_CR15","first-page":"1","volume":"2021","author":"B Li","year":"2021","unstructured":"Li, B., He, F., Zeng, X.: A novel privacy-preserving outsourcing computation scheme for Canny edge detection. Vis. Comput. 2021, 1\u201319 (2021)","journal-title":"Vis. Comput."},{"issue":"04","key":"2868_CR16","first-page":"37","volume":"52","author":"Hu Wenwen","year":"2020","unstructured":"Wenwen, Hu., Rigui, Z., Ping, F., Yaochong, Li.: Quantum image edge detection based on canny algorithm. J. Zhengzhou Univ. 52(04), 37\u201352 (2020)","journal-title":"J. Zhengzhou Univ."},{"issue":"15","key":"2868_CR17","first-page":"205","volume":"29","author":"H Cheng","year":"2020","unstructured":"Cheng, H., Jin Wei, Xu., Qian, L.Z., Zhiliang, Xu.: Sub-pixel edge detection algorithm based on Canny-Zernike moment method. J. Circuits Syst. Comput. 29(15), 205\u2013238 (2020)","journal-title":"J. Circuits Syst. Comput."},{"issue":"5","key":"2868_CR18","doi-asserted-by":"publisher","first-page":"2061","DOI":"10.1007\/s12652-019-01232-2","volume":"11","author":"X Xie","year":"2020","unstructured":"Xie, X., Ge, S., Xie, M., Hu, F., Jiang, N.: An improved industrial sub-pixel edge detection algorithm based on coarse and precise location. J. Ambient. Intell. Humaniz. Comput. 11(5), 2061\u20132070 (2020)","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"S1","key":"2868_CR19","first-page":"202","volume":"30","author":"Li Lidan","year":"2011","unstructured":"Lidan, Li.: Least squares fitting of discrete data based on MATLAB. J. Liaoning Univ. Eng. Technol. 30(S1), 202\u2013204 (2011)","journal-title":"J. Liaoning Univ. Eng. Technol."},{"key":"2868_CR20","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1007\/s00371-020-02036-8","volume":"38","author":"H Wang","year":"2021","unstructured":"Wang, H.: On extended progressive and iterative approximation for least squares fitting. Vis. Comput. 38, 591\u2013602 (2021)","journal-title":"Vis. Comput."},{"issue":"1","key":"2868_CR21","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/s00371-013-0782-8","volume":"30","author":"Y Kaya","year":"2014","unstructured":"Kaya, Y., Kayci, L.: Application of artificial neural network for automatic detection of butterfly species using color and texture features. Vis. Comput. 30(1), 71\u201379 (2014)","journal-title":"Vis. Comput."},{"key":"2868_CR22","unstructured":"Zhang, M., Xin, J., Zhang, J., Tao, D., Gao, X.: Microscope chip image super-resolution reconstruction via curvature consistent network. In: IEEE Transactions on neural networks and learning systems\u00a0(2022)"},{"issue":"11","key":"2868_CR23","first-page":"153","volume":"39","author":"W Yunyan","year":"2022","unstructured":"Yunyan, W., Shuai, L., Zijian, W.: Photovoltaic power prediction combined with popular learning and improved BP neural network. Comput. Simul. 39(11), 153\u2013157 (2022)","journal-title":"Comput. Simul."},{"issue":"1","key":"2868_CR24","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1109\/TCYB.2022.3163294","volume":"53","author":"M Zhang","year":"2022","unstructured":"Zhang, M., Wu, Q., Zhang, J., Gao, X., Guo, J., Tao, D.: Fluid micelle network for image super-resolution reconstruction. IEEE Trans. Cybern. 53(1), 578\u2013591 (2022)","journal-title":"IEEE Trans. Cybern."},{"key":"2868_CR25","unstructured":"Zhang, M., Wu, Q., Guo, J., Li, Y., Gao, X.: Heat transfer-inspired network for image super-resolution reconstruction. In: IEEE Transactions on neural networks and learning systems (2022)."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02868-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-023-02868-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02868-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T13:26:42Z","timestamp":1729344402000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-023-02868-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,29]]},"references-count":25,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,3]]}},"alternative-id":["2868"],"URL":"https:\/\/doi.org\/10.1007\/s00371-023-02868-0","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,29]]},"assertion":[{"value":"5 April 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}