Pattern segmentation method based on super-pixel multi-feature fusion.
The paper presents an optimized segmentation algorithm for clothing patterns. It uses the depth model to improve the image quality. Super-pixel pre-segmentation enhances the ability to capture the edge information of patterns.LBP texture information, HSV color information and image pixel space infor...
| Publicado en: | SHS Web of Conferences Vol. 166; pp. 1 - 11 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
EDP Sciences
5/5/2023
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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=163793422&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 163793422 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 24165182 FT5R jtl: SHS Web of Conferences issn: 24165182 maglogo: N pubinfo: dt: 5/5/2023 vid: 166 pid: 76090 pub: EDP Sciences artinfo: ui: 163793422 10.1051/shsconf/202316601068 ppf: 1 ppct: 10 formats: tig: atl: Pattern segmentation method based on super-pixel multi-feature fusion. aug: au: Gu, Xiaohong Shang, Shuyuan affil: Beijing Institute of Fashion Technology, Beijing, 100029, China sug: keyword: Clothing patterns Deep learning Image segmentation Super pixel ab: The paper presents an optimized segmentation algorithm for clothing patterns. It uses the depth model to improve the image quality. Super-pixel pre-segmentation enhances the ability to capture the edge information of patterns.LBP texture information, HSV color information and image pixel space information are used to optimize the parameters of Gaussian mixture model. The energy function is optimized by maxflow/mincut to realize the fast segmentation of clothing patterns. The simulation results show that the segmentation accuracy and precision of the algorithm are improved. pubtype: Conference Proceedings doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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