染整技术2024，Vol.46Issue(7)：1-8,8.
基于图像分割的纺织品纹样提取算法研究
Research on textile pattern extraction algorithm based on image segmentation
摘要
Abstract
Image segmentation,as the key to image processing technology,plays a vital role in textile pattern extraction.In order to effectively help relevant scholars quickly select appropriate segmentation methods according to the characteristics of textile images,the segmentation preprocessing algorithms are enumerated,including noise and texture smoothing methods for textile images.Secondly,the different types of segmentation algorithms are sorted out and summarized,the common segmentation algorithms and their advantages and disadvantages are summarized,and the applications of some optimization segmentation algorithms are listed.Finally,focusing on the application of fusion segmentation algorithm in textile pattern extraction,the optimization ideas of segmentation algorithm and the principle of fusion method for textile pattern extraction are summarized.It is believed that the improvement of traditional algorithms or the fusion of multiple algorithms can effectively improve the accuracy and efficiency of textile pattern extraction.关键词
图像分割/纺织品图像/纹样提取/算法优化/算法融合Key words
image segmentation/textiles images/pattern extraction/algorithm optimization/algorithms fusion分类
轻工业引用本文复制引用
黄倩,罗戎蕾..基于图像分割的纺织品纹样提取算法研究[J].染整技术,2024,46(7):1-8,8.基金项目
浙江省一般软科学研究计划项目"虚拟与现实双生态下的浙江省数字时尚产业发展路径研究"(2022C35099) （2022C35099）
浙江省丝绸与文化艺术研究中心培育项目"当代数字时尚艺术研究"(ZSFCRC20204PY) （ZSFCRC20204PY）
