Digital extraction and segmentation of intangible cultural heritage paper-cut patterns.
As a unique intangible cultural heritage in Chinese traditional culture, paper-cut art is now facing the dilemma of inheritance and development, and with the death of paper-cut artists and the damage and loss of paper-cut works, some paper-cut types also disappear. Therefore, the digital protection...
| Publicado en: | Digital Scholarship in the Humanities Vol. 41; no. 1; pp. 41 - 51 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=192763857&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 192763857 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2026 vid: 41 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 192763857 10.1093/llc/fqaf006 ppf: 41 ppct: 10 formats: tig: atl: Digital extraction and segmentation of intangible cultural heritage paper-cut patterns. aug: au: Chen, Daoling Cheng, Pengpeng affil: College of Fashion and Art Engineering, Minjiang University, Fuzhou, 350108, China School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, 311199, China su: Paper arts Image segmentation Edge detection (Image processing) Feature extraction Cultural policy Genetic algorithms sug: subj: Paper arts Image segmentation Edge detection (Image processing) Feature extraction Cultural policy Genetic algorithms keyword: copyrightHolder:EADH: The European Association for Digital Humanities copyrightYear:2026 Grab-Cut segmentation improved Canny operator inLanguage:en intangible cultural heritage paper-cut patterns intelligent extraction publisher:Oxford University Press sameAs:https://dx.doi.org/10.1093/llc/fqaf006 ab: As a unique intangible cultural heritage in Chinese traditional culture, paper-cut art is now facing the dilemma of inheritance and development, and with the death of paper-cut artists and the damage and loss of paper-cut works, some paper-cut types also disappear. Therefore, the digital protection of paper-cut art is urgent. This research is based on the improved genetic algorithm adaptive optimization of Canny operator threshold and Grab-Cut algorithm to achieve intelligent extraction and segmentation of intangible cultural heritage paper-cut patterns. First, the collected paper-cut images are smoothed by bilateral filtering to improve the image quality. Second, based on the Canny operator optimized by the improved genetic algorithm, the overall contour of the paper-cut pattern is extracted. Then, the Grab-Cut algorithm is designed to segment the contours of decoupage design elements in a targeted way, and the vector image is processed by CDR software to obtain an independent editable vector image. Finally, the contour extraction experiments of different kinds of paper-cut images are compared by different algorithms. The results show that the method proposed in this article can effectively detect the true edge of the pattern in paper-cut images and complete the extraction of the pattern contour, and the accuracy of the segmentation pixels of each design element of paper-cut pattern is greater than 96 per cent. It provides a new method for the digital protection and innovative application of intangible cultural heritage paper-cut art. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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