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The proposed approach leverages the Adaptive Attention Multiscale Convolution Network (AAMC-Net), incorporating a multi-scale dilated convolution VGG L network for feature extraction and a deconvolution method for image segmentation. Extensive experiments demonstrate the superior performance of the proposed algorithm concerning intersection over Union (IOU), accuracy, precision, recall, F1, average training efficiency, and segmentation efficiency when compared to several traditional algorithms. On average, the proposed algorithm achieves remarkable improvements of 3.9%, 3.1%, 1.7%, 4.9%, 17.9%, 14.8% ,and 20.2% in these metrics. Moreover, the enhanced algorithm exhibits notable advantages in detail processing and real-time image segmentation detection.<\/jats:p>","DOI":"10.2298\/csis230725042w","type":"journal-article","created":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T13:09:08Z","timestamp":1727183348000},"page":"1435-1455","source":"Crossref","is-referenced-by-count":0,"title":["Advancing crack segmentation detection: Introducing AAMC-Net algorithm for image crack analysis"],"prefix":"10.2298","volume":"21","author":[{"given":"Xiaofang","family":"Wang","sequence":"first","affiliation":[{"name":"Geely University of China Chengdu Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenfang","family":"Liu","sequence":"additional","affiliation":[{"name":"Chengdu College of University of Electronic Science and Technology of China Chengdu Sichuan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junliang","family":"Hou","sequence":"additional","affiliation":[{"name":"Geely University of China Chengdu Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Geely University of China Chengdu Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","reference":[{"key":"ref1","unstructured":"Adam, K.D.B.J.: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 1412 (2014)"},{"key":"ref2","unstructured":"Cajas, Y.R.A., Guisado, Y.Z., Vergaray, A.D.: Identify faults in road structure zones with deep learning. 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