摘要
文章介绍了基于HSV颜色模型,应用支持向量机的目标提取方法检测羊绒/羊毛混纺比。根据某种色彩信息,将在HSV颜色模型下的羊绒与羊毛混纺纱线的切片图进行初步的背景分离,通过特征数据取样,应用支持向量机对图片进一步精确分离,从而使提取目标完整地从原图中分离出来,这种支持向量提取的方法为应用图像处理方法测试羊绒/羊毛混纺比提供了可行性。
The article introduced a kind of test method. A support vector machine （SVM） object extraction method was proposed based on the HSV color model, which could be used for testing the blend ratio of cashmere/wool yarns. Firstly both the cashmere and wool that have some color information were withdrawn from the background, and then apply support vector machine to carry on accurate separation to the picture, make the target withdrawn complete thus of separate from originally the diagram. The method that this kind of support vector withdraws handled the cashmere/wool of the method test blend ratio to provide a possibility for the applied picture.
出处
《毛纺科技》
CAS
北大核心
2008年第5期48-51,共4页
Wool Textile Journal
关键词
图像处理技术
支持向量
HSV颜色模型
目标提取
混纺比
image processing
support vector machine （SVM）
HSV color model
object extraction
blend ratio
