{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T11:47:20Z","timestamp":1768736840136,"version":"3.49.0"},"reference-count":30,"publisher":"Tech Science Press","issue":"1","license":[{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"content-version":"vor","delay-in-days":293,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.056614","type":"journal-article","created":{"date-parts":[[2024,9,23]],"date-time":"2024-09-23T07:58:36Z","timestamp":1727078316000},"page":"933-949","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":2,"title":["Research on Defect Detection of Wind Turbine Blades Based on Morphology and Improved Otsu Algorithm Using Infrared Images"],"prefix":"10.32604","volume":"81","author":[{"given":"Shuang","family":"Kang","sequence":"first","affiliation":[]},{"given":"Yinchao","family":"He","sequence":"additional","affiliation":[]},{"given":"Wenwen","family":"Li","sequence":"additional","affiliation":[]},{"given":"Sen","family":"Liu","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.3390\/s23114987","article-title":"Acoustic-signal-based damage detection of wind turbine blades\u2014a review","volume":"23","author":"Ding","year":"May 2023","journal-title":"Sensors"},{"key":"ref2","article-title":"The application of ultrasonic phased array technology in wind turbine blade defect detection system","volume":"675","author":"Zhang","year":"Feb. 2021","journal-title":"IOP Conf. Ser.: Earth Environ. Sci."},{"key":"ref3","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1016\/j.renene.2021.01.044","article-title":"Leading edge erosion of wind turbine blades: Understanding, prevention and protection","volume":"169","author":"Leon","year":"May 2021","journal-title":"Renew. Energy"},{"key":"ref4","article-title":"Damage detection techniques for wind turbine blades: A review","volume":"141","author":"Du","year":"Jul. 2020","journal-title":"Mech. Syst. Signal. Process."},{"key":"ref5","article-title":"A rapid bridge crack detection method based on deep learning","volume":"13","author":"Liu","year":"Aug. 2023","journal-title":"Appl. Sci."},{"key":"ref6","article-title":"LCA-YOLOv8-Seg: An improved lightweight YOLOv8-Seg for real-time pixel-level crack detection of dams and bridges","volume":"13","author":"Wu","year":"Sep. 2023","journal-title":"Appl. Sci."},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1007\/s10921-022-00907-9","article-title":"Infrared thermal imaging-based turbine blade crack classification using deep learning","volume":"41","author":"Jaeger","year":"2022","journal-title":"J. Nondestruct. Eval."},{"key":"ref8","unstructured":"M. F. Rabbi et al., \u201cA novel approach for defect detection of wind turbine blade using virtual reality and deep learning,\u201d The University of Texas at El Paso, USA, 2023."},{"key":"ref9","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1080\/10589759.2023.2234554","article-title":"Defect detection and classification of offshore wind turbine rotor blades","volume":"39","author":"Deng","year":"May 2024","journal-title":"Nondestruct. Test. Eval."},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.3390\/app132413046","article-title":"Defects detection on 110 MW AC wind farm\u2019s turbine generator blades using drone-based laser and RGB images with Res-CNN3 detector","volume":"13","author":"Masita","year":"Dec. 2023","journal-title":"Appl. Sci."},{"key":"ref11","article-title":"Automatic visual defects inspection of wind turbine blades via YOLO-based small object detection approach","volume":"28","author":"Qiu","year":"Jul. 2019","journal-title":"J. Electron. Imag."},{"key":"ref12","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s12524-023-01806-w","article-title":"Pansharpening using IHS method on multi-sensor data and multiple feature extraction using modified Otsu thresholding","volume":"52","author":"Mishra","year":"Jan. 2024","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref13","first-page":"8","article-title":"Gap detection of vernier caliper based on improved Otsu algorithm","volume":"50","author":"Hu","year":"2022","journal-title":"Mach. Tools Hydraul."},{"key":"ref14","doi-asserted-by":"crossref","first-page":"4197","DOI":"10.1007\/s00500-017-2709-1","article-title":"Automatic image thresholding using Otsu\u2019s method and entropy weighting scheme for surface defect detection","volume":"22","author":"Truong","year":"Jul. 2018","journal-title":"Soft Comput."},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1653","DOI":"10.1007\/s11760-022-02375-0","article-title":"Improved whale optimization algorithm for 2D-Otsu image segmentation with application in steel plate surface defects segmentation","volume":"17","author":"Xie","year":"2023","journal-title":"Signal Image Video Process."},{"key":"ref16","first-page":"786","article-title":"Study on infrared image enhancement of wind turbine blades based on adaptive differential multiscale morphology (ADMM)","volume":"32","author":"Kang","year":"2021","journal-title":"Chinese Mech. Eng."},{"key":"ref17","first-page":"145","article-title":"Study on defect detection of morphological infrared images based on optimal multiscale set","volume":"43","author":"Kang","year":"Jun. 2022","journal-title":"J. Sol. Energy"},{"key":"ref18","article-title":"Advanced enhancement technique for infrared images of wind turbine blades utilizing adaptive difference multi-scale top-hat transformation","volume":"14","author":"He","year":"Jul. 2024","journal-title":"Sci. Rep."},{"key":"ref19","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.ymssp.2017.12.008","article-title":"A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical permutation entropy","volume":"105","author":"Li","year":"May 2018","journal-title":"Mech. Syst. Signal. Process."},{"key":"ref20","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.isatra.2011.06.003","article-title":"A weighted multi-scale morphological gradient filter for rolling element bearing fault detection","volume":"50","author":"Li","year":"Oct. 2011","journal-title":"ISA Trans."},{"key":"ref21","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1016\/j.ymssp.2017.08.020","article-title":"Average combination difference morphological filters for fault feature extraction of bearing","volume":"100","author":"Lv","year":"Feb. 2018","journal-title":"Mech. Syst. Signal. Process."},{"key":"ref22","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.isatra.2018.01.004","article-title":"Fault diagnosis of rolling element bearing using a new optimal scale morphology analysis method","volume":"73","author":"Yan","year":"Feb. 2018","journal-title":"ISA Trans."},{"key":"ref23","doi-asserted-by":"crossref","first-page":"2078","DOI":"10.1016\/j.measurement.2011.08.010","article-title":"Gear fault detection using multi-scale morphological filters","volume":"44","author":"Li","year":"Dec. 2011","journal-title":"Measurement"},{"key":"ref24","article-title":"Entropy and contrast enhancement of infrared thermal images using the multiscale top-hat transform","volume":"21","author":"Roman","year":"Mar. 2019","journal-title":"Entropy"},{"key":"ref25","article-title":"Entropy based data expansion method for blind image quality assessment","volume":"22","author":"Guan","year":"2020","journal-title":"Entropy"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.3390\/fractalfract8020087","article-title":"Otsu image segmentation based on a fractional order moth-flame optimization algorithm","volume":"8","author":"Fan","year":"Jan. 2024","journal-title":"Fractal Fract."},{"key":"ref27","first-page":"526","article-title":"A review of threshold-based image segmentation algorithms: Principles, classification and typical algorithms","volume":"41","author":"Yang","year":"2023","journal-title":"J. Shenyang Norm. Univ. (Nat. Sci. Ed.)"},{"key":"ref28","first-page":"965","article-title":"Bridge crack detection method based on improved Otsu","volume":"44","author":"Xiong","year":"Dec. 2023","journal-title":"Semicond. Optoelectron."},{"key":"ref29","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.asoc.2014.08.066","article-title":"A novel image segmentation algorithm based on neutrosophic similarity clustering","volume":"25","author":"Guo","year":"Dec. 2014","journal-title":"Appl. Soft Comput."},{"key":"ref30","first-page":"1371","article-title":"Denoising letter images from scanned invoices using stacked autoencoders","volume":"71","author":"Alshathri","year":"Apr. 2022","journal-title":"Comput. Mater. Contin."}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-81-1\/TSP_CMC_56614\/TSP_CMC_56614.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T03:03:43Z","timestamp":1741316623000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v81n1\/58369"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":30,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.056614","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-07-26","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-08-26","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-15","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}