摘要
图像分割技术已广泛应用于服装、医疗、工业等诸多领域。总结了常用服装图像分割方法,阐述图像分割技术在织物疵点检验、织物图案轮廓提取、服装样板和服装图像轮廓提取、服装款式图提取、服装廓形识别以及服装图像检索等方面的研究与应用,指出该技术在服装领域的发展趋势。借助图像分割技术可从服装图像中快速提取服装款式信息、结构元素,提高款式设计和制版效率,促进服装行业智能化、一体化发展。
With the development of image segmentation technology,it has been widely used in many fields such as clothing,medical,industrial and so on.This article summarizes the common methods of garment image segmentation,analyses the research and application of image segmentation technology in fabric defect inspection,outline extraction of fabric patterns,garment pattern and image contour extraction,garment style drawing extraction,garment profile recognition and garment image retrieval,and points out the development trend of this technology in the field of clothing.With the help of image segmentation technology,we can quickly extract clothing style information and structural elements from the clothing image.This technology improves the style design and plate making efficiency,and promotes the intelligent and integrated development of the clothing industry.
作者
张艳红
杨思
徐增波
ZHANG Yan-hong;YANG Si;XU Zeng-bo(School of Fashion Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《软件导刊》
2020年第4期238-241,共4页
Software Guide
基金
上海市科学技术委员会科技创新行动计划资助项目(18030501400)
上海市研究生创新项目(E3-0903-18-01185)。
关键词
图像处理
图像分割
边缘检测
轮廓提取
服装设计智能化
image processing
image segmentation
edge detection
contour extraction
intelligent garment design