Pattern segmentation method based on super-pixel multi-feature fusion

Autor:	Gu Xiaohong, Shang Shuyuan
Jazyk:	English<br />French
Rok vydání:	2023
Předmět:	clothing patterns super pixel image segmentation deep learning Social Sciences
Zdroj:	SHS Web of Conferences, Vol 166, p 01068 (2023)
Druh dokumentu:	article
ISSN:	2261-2424 20231660
DOI:	10.1051/shsconf/202316601068
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/2b0261703b344c0ba8152c42eb13be98 Zobrazit plný text záznamu View record in DOAJ