摘要
在商品质量检测中经常要对纤维及动物毛发等微细线状物进行检测，方法已由传统逐步向数字图像处理等转变，通过从数字图像提取特征来进行识别。在获取的图像中，有许多纤维图像是交叉的。为了更好地进行分析，本文就如何分离交叉在一起的纤维进行了分析，综合利用现有的图像处理技术，提出了解决这一问题的方法。
Digital image process have been widely used in goods inspect in which wire-like substance must be detected fiequently such as fiber and animal hair.Extract character from digital image to determine their category.But images are often across together.This paper give a method for separating crossed images.
出处
《电脑知识与技术》
2006年第7期142-142,174,共2页
Computer Knowledge and Technology
关键词
纤维识别
交叉纤维
数字图像处理
fiber recognition
crossed fiber
digital image process
