摘要
采用模糊聚类与模板叠合判定技术相结合的方法实现了色织物组织点颜色的自动判析,得到色纱的排列图和颜色分类后的织物图像,可用于进一步的组织识别和叠合验证。文中首次提出了一种力学拉伸矫正和清晰化与图像处理组合的技术,对于解决以往织物组织图像的识别困难效果显著,是织物图像分析中的实质性进步。
The colors of woven fabric patterns are identified automatically by using the combined technique of a fuzzy C-means clustering algorithm and template matching, and the colour images of color-yarn arrangements and the woven fabric images classificated in colors pattern recog by biaxial str existing prob tice progress nition and template matching identifition. A eching and image processing is proposed first nove are obtained, which can be used for fabric 1 combined technique of fabric rectification is not only a useful approach to solving the lems of diffculty analyzing fabric pattern and improving recognition accuracy, but also a prac in image processing frield.
出处
《青岛大学学报（工程技术版）》
CAS
2007年第2期5-11,共7页
Journal of Qingdao University(Engineering & Technology Edition)
关键词
色织物
颜色特征
组织分析
图像处理
模糊聚类
模板叠合
colour woven fabric
color feature
weave pattern analysis
image processing
fuzzy clustering
template matching
