{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T18:32:35Z","timestamp":1757701955814},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2024,5,11]],"date-time":"2024-05-11T00:00:00Z","timestamp":1715385600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,11]],"date-time":"2024-05-11T00:00:00Z","timestamp":1715385600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Natural Science Project of CQUST","award":["No.20220211"],"award-info":[{"award-number":["No.20220211"]}]},{"name":"Collaborative project between Chongqing University and Chinese Academy of Sciences on \"Key Technologies and Collaborative Innovation of Industrial Internet Endogenous Security\"","award":["HZ20211015"],"award-info":[{"award-number":["HZ20211015"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s11760-024-03201-5","type":"journal-article","created":{"date-parts":[[2024,5,11]],"date-time":"2024-05-11T03:40:31Z","timestamp":1715398831000},"page":"895-908","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Stone segmentation based on improved U-Net network"],"prefix":"10.1007","volume":"18","author":[{"given":"Ning","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinkai","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haixia","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangzhu","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongsheng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,11]]},"reference":[{"key":"3201_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.120964","volume":"259","author":"Y Wang","year":"2020","unstructured":"Wang, Y., Ye, G., Zhang, Y., Ping, M., Wang, H.: Is the Chinese construction industry moving towards a knowledge-and technology-intensive industry? J. Clean. Prod. 259, 120964 (2020)","journal-title":"J. Clean. Prod."},{"issue":"3","key":"3201_CR2","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1061\/(ASCE)0887-3801(2002)16:3(175)","volume":"16","author":"H Kim","year":"2002","unstructured":"Kim, H., Haas, C.T., Rauch, A.F., Browne, C.: Dimensional ratios for stone aggregates from three-dimensional laser scans. J. Comput. Civil Eng. 16(3), 175\u2013183 (2002)","journal-title":"J. Comput. Civil Eng."},{"issue":"4","key":"3201_CR3","doi-asserted-by":"publisher","first-page":"43","DOI":"10.3208\/sandf1972.32.4_43","volume":"32","author":"KJL Stone","year":"1992","unstructured":"Stone, K.J.L., Wood, D.M.: Effects of dilatancy and particle size observed in model tests on sand. Soils Found. 32(4), 43\u201357 (1992)","journal-title":"Soils Found."},{"issue":"1","key":"3201_CR4","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1086\/NTJ41789190","volume":"49","author":"J Alm","year":"1996","unstructured":"Alm, J.: What is an\u2019\u2019 optimal\u2019\u2019 tax system? National Tax J. 49(1), 117\u2013133 (1996)","journal-title":"National Tax J."},{"key":"3201_CR5","volume-title":"Particle Size Measurements: Fundamentals, Practice, Quality","author":"HG Merkus","year":"2009","unstructured":"Merkus, H.G.: Particle Size Measurements: Fundamentals, Practice, Quality, vol. 17. Springer Science & Business Media, Berlin (2009)"},{"key":"3201_CR6","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1016\/j.conbuildmat.2015.10.204","volume":"102","author":"M Galetakis","year":"2016","unstructured":"Galetakis, M., Soultana, A.: A review on the utilisation of quarry and ornamental stone industry fine by-products in the construction sector. Constr. Build. Mater. 102, 769\u2013781 (2016)","journal-title":"Constr. Build. Mater."},{"issue":"7","key":"3201_CR7","first-page":"3523","volume":"44","author":"S Minaee","year":"2021","unstructured":"Minaee, S., Boykov, Y., Porikli, F., Plaza, A., Kehtarnavaz, N., Terzopoulos, D.: Image segmentation using deep learning: A survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7), 3523\u20133542 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"3201_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/2213-7459-1-9","volume":"1","author":"S Rankohi","year":"2013","unstructured":"Rankohi, S., Waugh, L.: Review and analysis of augmented reality literature for construction industry. Visualization in Engineering 1(1), 1\u201318 (2013)","journal-title":"Visualization in Engineering"},{"key":"3201_CR9","unstructured":"Chen, J.: Design and implementation of sand and gravel particle size detection system. Master\u2019s thesis, Harbin Institute of Technology, (2022)"},{"key":"3201_CR10","unstructured":"Geng, G.Y.F., Li, L.P.W., Bo, Y.: Quantification method of sand and gravel powder segmentation based on improved unet network. Comput. Syst. Appl. 31, 213\u2013221 (2022)"},{"key":"3201_CR11","unstructured":"Luo, C.: Research on real-time detection system for sand and gravel gradation based on machine vision. Master\u2019s Thesis, Wuhan University of Technology, (2023)"},{"key":"3201_CR12","unstructured":"Gao, L.W.M., Shi, W.C.Y., Hu, M.F.: Research on sand and gravel segmentation algorithm based on improved mask r-cnn algorithm. J. Wuhan Univ. Technol. 42, 56\u201363 (2020)"},{"key":"3201_CR13","unstructured":"Zhu, D.: Particle size detection of sand and gravel images based on deep learning. Master\u2019s Thesis, NanJing University of Technology, (2022)"},{"issue":"12","key":"3201_CR14","first-page":"234","volume":"3","author":"K Bhargavi","year":"2014","unstructured":"Bhargavi, K., Jyothi, S.: A survey on threshold based segmentation technique in image processing. Int. J. Innov. Res. Develop. 3(12), 234\u2013239 (2014)","journal-title":"Int. J. Innov. Res. Develop."},{"key":"3201_CR15","doi-asserted-by":"crossref","unstructured":"Kaganami, H.G., Beiji, Z.: Region-based segmentation versus edge detection. In: 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 1217\u20131221. IEEE, (2009)","DOI":"10.1109\/IIH-MSP.2009.13"},{"key":"3201_CR16","doi-asserted-by":"crossref","unstructured":"Lyu, H., Fu, H., Hu, X., Liu., L.: Esnet: Edge-based segmentation network for real-time semantic segmentation in traffic scenes. In: 2019 IEEE International Conference on Image Processing (ICIP), pp. 1855\u20131859. IEEE, (2019)","DOI":"10.1109\/ICIP.2019.8803132"},{"issue":"5","key":"3201_CR17","first-page":"99","volume":"3","author":"AA Aly","year":"2011","unstructured":"Aly, A.A., Deris, S.B., Zaki, N.: Research review for digital image segmentation techniques. Int. J. Comput. Sci. Inform. Technol. 3(5), 99 (2011)","journal-title":"Int. J. Comput. Sci. Inform. Technol."},{"key":"3201_CR18","doi-asserted-by":"crossref","unstructured":"McCann, D.M., Jackson, P.D., Fenning, P.J.: Comparison of the seismic and ground probing radar methods in geological surveying. In: IEE Proceedings F (Communications, Radar and Signal Processing), pp. 380\u2013391. IET, (1988)","DOI":"10.1049\/ip-f-1.1988.0045"},{"key":"3201_CR19","unstructured":"Singh, B., Najibi, M., Davis, L.S.: Sniper: Efficient multi-scale training. Advances in Neural Information Processing Systems, 31, (2018)"},{"key":"3201_CR20","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pages 234\u2013241. Springer, (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"3","key":"3201_CR21","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1145\/1276377.1276497","volume":"26","author":"J Kopf","year":"2007","unstructured":"Kopf, J., Cohen, M.F., Lischinski, D., Uyttendaele, M.: Joint bilateral upsampling. ACM Trans. Graph. 26(3), 96 (2007)","journal-title":"ACM Trans. Graph."},{"key":"3201_CR22","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, (2014)"},{"key":"3201_CR23","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778, (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"3201_CR24","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139, (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"3201_CR25","doi-asserted-by":"crossref","unstructured":"Chollet, F.: Xception: Deep learning with depthwise separable convolutions. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1800\u20131807, (2016)","DOI":"10.1109\/CVPR.2017.195"},{"key":"3201_CR26","unstructured":"Howard, A.G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., Adam, H.: Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv:1704.04861, (2017)"},{"key":"3201_CR27","doi-asserted-by":"crossref","unstructured":"Yu, F., Koltun, V., Funkhouser, T.: Dilated residual networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 472\u2013480, (2017)","DOI":"10.1109\/CVPR.2017.75"},{"key":"3201_CR28","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.-Y., Kweon, I.S.: Cbam: Convolutional Block Attention Module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319, (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"3201_CR29","unstructured":"Hendrycks, D., Gimpel, K.: Gaussian error linear units (gelus). arXiv preprint arXiv:1606.08415, (2016)"},{"key":"3201_CR30","unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted boltzmann machines. In: Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp. 807\u2013814, (2010)"},{"key":"3201_CR31","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778, (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"3201_CR32","doi-asserted-by":"publisher","first-page":"107788","DOI":"10.1016\/j.compag.2023.107788","volume":"208","author":"X Sheng","year":"2023","unstructured":"Sheng, X., Kang, C., Zheng, J., Lyu, C.: An edge-guided method to fruit segmentation in complex environments. Comput. Electron. Agric. 208, 107788 (2023)","journal-title":"Comput. Electron. Agric."},{"issue":"4","key":"3201_CR33","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/S0925-7721(99)00021-8","volume":"13","author":"JD Hobby","year":"1999","unstructured":"Hobby, J.D.: Practical segment intersection with finite precision output. Comput. Geom. 13(4), 199\u2013214 (1999)","journal-title":"Comput. Geom."},{"issue":"1","key":"3201_CR34","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1002\/(SICI)1097-4571(199401)45:1<12::AID-ASI2>3.0.CO;2-L","volume":"45","author":"M Buckland","year":"1994","unstructured":"Buckland, M., Gey, F.: The relationship between recall and precision. Journal of the American society for information science 45(1), 12\u201319 (1994)","journal-title":"Journal of the American society for information science"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03201-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03201-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03201-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T12:35:21Z","timestamp":1719318921000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03201-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,11]]},"references-count":34,"journal-issue":{"issue":"S1","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["3201"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03201-5","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,11]]},"assertion":[{"value":"20 September 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 March 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 April 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}